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PLOS Digital Health logoLink to PLOS Digital Health
. 2024 Jan 8;3(1):e0000318. doi: 10.1371/journal.pdig.0000318

Supporting self-management for patients with Interstitial Lung Diseases: Utility and acceptability of digital devices

Malik A Althobiani 1,, Rebecca Shuttleworth 2,, John Conway 3, Jonathan Dainton 3, Anna Duckworth 2,4, Ana Jorge Da Ponte 2, Jessica Mandizha 2,4, Joseph W Lanario 2,4, Michael A Gibbons 2,4, Sarah Lines 2, Chris J Scotton 2,4, John R Hurst 1, Joanna C Porter 1, Anne-Marie Russell 2,4,*
Editor: Haleh Ayatollahi5
PMCID: PMC10773949  PMID: 38190384

Abstract

Introduction

Patients diagnosed with Interstitial Lung Diseases (ILD) use devices to self-monitor their health and well-being. Little is known about the range of devices, selection, frequency and terms of use and overall utility. We sought to quantify patients’ usage and experiences with home digital devices, and further evaluate their perceived utility and barriers to adaptation.

Methods

A team of expert clinicians and patient partners interested in self-management approaches designed a 48-question cross-sectional electronic survey; specifically targeted at individuals diagnosed with ILD. The survey was critically appraised by the interdisciplinary self-management group at Royal Devon University Hospitals NHS Foundation Trust during a 6-month validation process. The survey was open for participation between September 2021 and December 2022, and responses were collected anonymously. Data were analysed descriptively for quantitative aspects and through thematic analysis for qualitative input.

Results

104 patients accessed the survey and 89/104 (86%) reported a diagnosis of lung fibrosis, including 46/89 (52%) idiopathic pulmonary fibrosis (IPF) with 57/89 (64%) of participants diagnosed >3 years and 59/89 (66%) female. 52/65(80%) were in the UK; 33/65 (51%) reported severe breathlessness medical research council MRC grade 3–4 and 32/65 (49%) disclosed co-morbid arthritis or joint problems. Of these, 18/83 (22%) used a hand- held spirometer, with only 6/17 (35%) advised on how to interpret the readings. Pulse oximetry devices were the most frequently used device by 35/71 (49%) and 20/64 (31%) measured their saturations more than once daily. 29/63 (46%) of respondents reported home-monitoring brought reassurance; of these, for 25/63 (40%) a feeling of control. 10/57 (18%) felt it had a negative effect, citing fluctuating readings as causing stress and ‘paranoia’. The most likely help-seeking triggers were worsening breathlessness 53/65 (82%) and low oxygen saturation 43/65 (66%). Nurse specialists were the most frequent source of help 24/63 (38%). Conclusion: Patients can learn appropriate technical skills, yet perceptions of home-monitoring are variable; targeted assessment and tailored support is likely to be beneficial.

Introduction

Interstitial Lung Diseases (ILDs) are associated with a symptom burden affecting daily life that is often complex to manage [1]. ILDs may present as multi-system disorders often alongside significant co- morbidities [2,3]. Traditionally, ILD patients have relied on self-monitoring and management methods like home oxygen therapy [4]. However, digital devices can further empower these patients by offering more granular, continuous data which can facilitate early intervention, enable detection of disease progression, and reduce healthcare costs [5,6].

Digital devices are commonly suggested for all individuals with ILD in order to improve their ability to manage and monitor their condition [7]. However, the importance of these devices is most evident for those who experience long-term breathlessness and psychological discomfort [6]. Home monitoring via commercially available devices that measure physiological parameters and symptoms may provide clinicians and patients with access to more precise continuous data on disease progression, the rate of acute exacerbations, and effects on quality of life [614]. This enables the development of personalized treatment approaches in this cohort [6,812,15]. Supported self-management measures monitor the progression of a patient’s condition objectively, with digital technologies and subjectively, through the completion of patient-reported measures capturing symptom experiences and health-related quality-of-life (HRQOL) [6,12,16]. The use of digital devices, in this context, aligns with the need for early intervention and cost-effective management, reinforcing their relevance and utility for patients with ILD [6,12,15]. This approach requires support from the dedicated interdisciplinary ILD team with effective and efficient communications across the wider interdisciplinary healthcare team including primary care [7,17]. The National Institute for Health and Care Excellence (NICE) guidelines (2017), recommended that the minimally required members of an ILD team include a physician, radiologist, specialist nurse, and MDT coordinator [18]. In more complex diagnostic or treatment situations, the team should also involve thoracic surgeons, histopathologists, rheumatologists, occupational physicians, and geneticists [18].

Innovative approaches to healthcare emerged during the COVID-19 pandemic with increased interest in more readily available and affordable digital devices [7,19]. Remote monitoring programs are increasingly embedded in clinical care [7,13,14,16,20], e.g. in the UK the ‘COVID Oximetry@home’ service remotely monitors peripheral oxygen saturation (SpO2) in patients at risk of deterioration due to ‘silent’ hypoxia to target care and greater efficient use of National Health Service (NHS) resources [21]. The utilization of digital health tools to assist patients with ILD, specifically, idiopathic pulmonary fibrosis (IPF), has risen in the United Kingdom between 2016 and 2022 [12,14,15,22].

It is challenging for clinicians and patients to address the healthcare needs of those living with ILD. The introduction of digital devices as an effective and efficient solution might not be the panacea some perceive. Such devices, address some needs but create others that were unanticipated including large amounts of data that patients may require feedback on and psychosocial challenges that cannot be ignored. We know that these patients use devices to self-monitor their health and well-being but, little is known about the range of devices, selection, frequency of use and overall utility [6,14,23]. We aimed to characterize the types of digital devices used by people with ILD for home-monitoring purposes, outside remote monitoring programs. This work was subjected to critical peer review by the Respiratory Specialty Governance Group and registered as a service improvement project at Royal Devon University Hospitals NHS Foundation Trust/UK (ID:20–4946).

Methods

We developed a cross-sectional survey with our patient partners (JC and JD) in the Exeter Patients in Collaboration for Pulmonary Fibrosis Research (EPIC-PF) group. The content and phrasing of the questions in the survey build evolved iteratively through discussions with ILD expert clinicians and patient partners via a series of online meetings over 6-months. The interdisciplinary supported self- management group at Royal Devon University Hospitals NHS Foundation Trust critically appraised the penultimate survey, built using the NHS-affiliated Survey-Monkey.com. The 48-question survey was divided into 5 sections: 1. respondents’ characteristics / demographics, 2. types of devices in use, 3. frequency of device use, 4. technology used and 5. factors influencing choice and use of devices. If a respondent answered that they did not use a certain type of device, skip logic was applied eliminating the subsequent more detailed questions relating to this specific device. A further question requested additional comments to capture qualitative experiential data.

A survey preamble of clear concise instructions provided email contact details for the survey team for any concerns or queries. The brief clearly stated that the survey was specifically for people diagnosed with ILD; those who were not diagnosed with ILD were consequently excluded from the study. This international survey was open for participation from September 2021 to December 2021. It was anonymous with clear information on how data collected would be used. Respondents had the option to add their contact details at the end of the survey to receive an update on the results. Assistance with translation and accessibility of the survey was available via email contact.

The direction of response categories was consistent for ease and included a mixture of binary and 4- point Likert scaled responses. Four response categories are regarded as the absolute minimum and selecting an even number removed the predilection for the middle ground [24]. The survey started with general questions to qualify respondents and introduce the topic followed by specific questions and finishing with general, easy-to-answer demographic questions. This approach was to promote engagement, decrease drop-out rates and improve the quality of the experience. We piloted the survey in our EPIC group to assess structure and flow prior to distributing via national ILD support groups and the social media channel (Twitter ‘X’). The survey was open for three months and re-promoted at monthly intervals.

We present data by the number of respondents and percentage proportionate to the total number of responses per item. Qualitative data, transcribed according to accepted practice underwent thematic analysis, coding and organization using NVIVO (Lumivero formerly QSR International) software [25]. The study team consisted of three mixed methods researchers experienced in qualitative approaches and survey design (AMR; MA and RS). Informed consent from participants was obtained prior to opening the questionnaire.

Results

Respondents’ characteristics/demographics

Respondents from Europe, Asia, USA and Canada (n = 104) participated with 15 respondents excluded, as they did not have a diagnosis of ILD (Table 1). Eighty-nine respondents completed the survey. Forty-six (52%) were diagnosed with IPF. Thirty-four (38%) reported having a diagnosis for more than 5 years whilst 39% held a diagnosis 2–5 years (SI-1).

Table 1. Respondents’ characteristics.

Gender % N
Male 33.7% 30
Female 66.3% 59
Continent
Europe—UK 80.0% 52
USA 1.5% 1
Canada 4.6% 3
Asia 13.8% 9
UK Region
London and home-counties 11.5% 6
Southeast 13.5% 7
Southwest 26.9% 14
Midlands 26.9% 14
Northwest 3.8% 2
Scotland and Highlands 11.5% 6
Northern Ireland 1.9% 1
Other 3.8% 2
Age
18 to 40 6.7% 6
41–50 10.1% 9
51–60 19.1% 17
61–70 29.2% 26
71–80 23.6% 21
80–85 10.1% 9
>85 1.1% 1

Breathlessness was a dominant symptom graded on the MRC breathlessness scale; moderate (grade2-3) for 29/65(45%), and severe (grade 4–5) for 33/65(51%). Sixty (67%) reported using medication for ILD. Sixty-five (73%) reported comorbidities to include arthritis or joint problems 32(49%), followed by high blood pressure 20(31%), and heart disease 13(20%).

Contact with clinicians

A majority of respondents (70/89(79%)) reported having contact every 3–6 months with a specialist ILD doctor or nurse. For 18(20%) contact was yearly, the remaining 1% >18months. Several participants expressed frustration over this “Have been left on my own” “Feeling abandoned” “Unfortunately I have not had contact with respiratory department since December 2020, and that was by telephone”. Some participants hoped for “…monthly contact just to discuss condition… via Zoom or phone [if only] for guidance”. Sixty-five respondents reported contacting their General Practitioner (GP) or ILD team for the following reasons: increased breathlessness (66%) low saturation on home monitor with worsening symptoms, (49%) change in sputum, (48%) increased cough and (32%) concerns about medication side effects.

Devices

Finger pulse oximeter

Seventy-six (86%) participants used devices to monitor their vital signs, mainly a combination of finger probe peripheral oxygen saturation and heart rate 43(61%) followed by blood pressure 37(52%) (Table 2). Thirty-four (47%) reported measuring oxygen saturation (SpO2) when their symptoms ‘felt’ bad, followed by 30(42%) who regularly measured SpO2 regardless of how they felt. Only 4(6%) reported wearing a device throughout the day that was constantly measuring saturation. Forty-three (61%) noted low SpO2 during exertion whilst 40(46%) recorded low SpO2 readings when feeling breathless or unwell. For 17(24%) SpO2 readings remained within the normal range despite feeling breathless or unwell (Table 1). 22(31%) sought information about their device online or watched an online video. Eighteen (25%) felt they did not need any advice regarding the use of home oximetry. The minority of respondents received advice from either their GP or ILD nurse specialist.

Table 2. Home devices in use.
Study Variables and Responses % N
Uses devices to monitor vital signs 86% 76
Does not use devices to monitor vital signs 14% 12
Type of devices used to monitor vital signs
Finger probe oxygen saturation monitor (singularly) 49% 35
Heart rate monitor (singularly) 10% 7
Combined finger probe saturation and heart rate monitor 61% 43
Blood pressure monitor 52% 37
Advice on how to use devices that monitor vital signs
I was given advice by my GP 11% 8
I was given advice by my local support group 7% 5
The pharmacy explained to me 3% 2
I read information online and/or watched an online video 31% 22
I was given advice by the ILD nurse specialist 13% 9
I have had no advice/education and would welcome some 13% 9
I have not felt the need for any advice/education 25% 18
Frequency of SpO2 monitor
I regularly measure my oxygen saturations regardless of how I feel 42% 30
I measure my oxygen saturations if my symptoms are bad 47% 34
I measure my saturations when exerting myself (e.g. going up stairs/ exercising) 29% 21
I measure my readings after exertion whilst I am recovering 29% 21
I measure my saturations when I am at rest 21% 15
I wear a device throughout the day that is constantly measuring my saturations 6% 4
SpO2 results match symptoms
When I am feeling more breathless or unwell my saturations are often low 56% 40
My saturations are low, but my symptoms are stable 7% 5
My saturations are low when I am exerting myself 61% 43
When I feel breathless and/or unwell my saturations can be within normal range. 24% 17
Spirometer (Aspect of lung function monitored)
Forced vital capacity (FVC) 88% 14
Forced expiratory volume in the first second (FEV1) 63% 10
Flow volume loop 44% 7
FEV1 /FVC ratio 44% 7
Confidence of spirometer technique
Very unconfident 25% 4
Somewhat unconfident 6% 1
Somewhat confident 38% 6
Very confident 31% 5
Advice on interpreting spirometry readings
Advice received 35% 6
No advice received 65% 11
I’m unsure 35% 27
Position when you take measurements with home-monitoring devices
Sitting or resting 72% 46
Walking inside 33% 21
Walking outside 28% 18
Cycling 9% 6
Running 0% 0
Swimming 0% 0
Exercise / rowing machine 8% 5
Gardening 6% 4

Home-spirometer

A minority, 18/83 (22%) reported using home-based spirometry devices, contrary to our expectations. Of the 18(22%) using home-spirometry, 14(88%) measured their forced vital capacity (FVC) with most respondents (n = 13) not experiencing any difficulty in getting reproducible readings, while 3 participants noted that the spirometer was “hard work and difficult to do” with one reporting: “When I exhale, I find it difficult not to cough, which can affect the readings significantly and it is quite exhausting when repeating the process.” “It’s hard work and difficult to do it the same each time”. For those using home-spirometry 11 respondents were either very or somewhat confident of their technique whilst 5 felt very unconfident and 2 abstained. Six respondents reported they had received advice predominantly from their healthcare professional (n = 5). Twelve respondents used home-spirometry in conjunction with changes in their symptoms to prompt communication with their clinical team, whilst 4 only did so following 2–3 successive declines in spirometry readings.

Technologies: All participants had internet access at their own home 89(100%) with 84(95%) using a smartphone, 71(81%) a tablet computer and 63(72%) a laptop regularly. Twenty-eight (35%) reported using smart / fitness watch and activity trackers, mostly Apple, 10(43%). Twenty-nine (28%) reported using smart phone/tablets and apps for monitoring their health. The most frequently reported health monitoring apps were Apple health 4(22%), Spirobank 4(22%), ViHealth 4(22%) and Fitbit 3(16%). Whilst we recommend home-monitoring devices are CE marked only 34(44%) were able to confirm this, suggesting this may not be a priority for users.

Frequency of use of each device: Forty-six (72%) respondents reported taking home-monitoring measurements while sitting or resting and 21(33%) walking inside the home (Fig 1).

Fig 1. Frequency of using home monitoring devices.

Fig 1

Financial support and motivation

Only 9(12%) reported that their GP or specialist team supplied their devices. 22(32%) purchased their own informed by online reviews, followed by 12(17%) informed by ILD forum/support groups and 10(14%) on the recommendation of a healthcare professional. An additional 6 (9%) chose their devices because it was the lowest price they could find. The motivation for using health apps and devices had a strong psychological component associated with control 25(40%) as well as a marker of progression 19(30%) and validating ‘feeling unwell’ 25(40%); (Table 3).

Table 3. Reasons for using apps and home-monitoring devices.
Reason for using apps and home-monitoring devices. % N
My Doctor/Clinical Nurse Specialist/Other healthcare professional recommended it 14% 9
It makes me feel more in control of my illness 40% 25
It helps me to quantify when I feel unwell 40% 25
It helps me monitor the progression of my disease 30% 19
I feel it picks up changes earlier that can be acted on 22% 14
It gives me reassurance 46% 29
It helps me know when to call for help 24% 15
It helps me know when to use my home oxygen 24% 15
Not applicable—I do not use any apps or home-monitoring devices 22% 14

The additional comments collected in the survey gave further insights regarding the respondents’ experiences using home-monitoring devices. These data underwent thematic analysis and are discussed below within a framework of enablers and barriers to home spirometry.

Thematic analysis

Three overarching themes emerged identified as ‘facilitators’, ‘barriers’,‘experiences’ and ‘impacts’ of using home-monitoring applications. Within the overarching themes further subthemes were identified.

Overarching Theme 1: Facilitators to using home monitoring in patients with ILD

Fifty-two respondents reported positive effects of using home-monitoring devices, gaining “reassurance” “affirmation of symptoms” “peace of mind” “control” and “self-management support” during home-monitoring (Fig 2).

Fig 2. Facilitators to use home-monitoring in patients with ILD.

Fig 2

Subthemes

Reassurance: Eighteen respondents felt reassured by their use of home-monitoring devices, particularly in relation to oxygen saturation monitoring when oxygen levels return to normal levels: “I feel I can take the panic away with an oxygen monitor because I can sit and breathe and see my oxygen level rise” (ID 18, Female). Another participant felt reassured “[I] can keep an eye on oxygen levels to reassure myself or know when to get help” (ID 85, Female).

Symptom affirmation: Fifteen respondents commented on how they felt a sense of affirmation by their use of home-monitoring devices. The biggest expressed benefit was in knowing when to seek medical help or attention from self-monitored results: “helps you know when you need intervention” (ID 45, Male) and “You know if there is an issue” (ID 52, Female).

Control: Seven respondents experienced a sense of control in using home-monitoring devices described as the reduction of anxiety around the illness. “Helps me stay calm when I can see it rising after exertion” (ID 25, Male). Being able to monitor symptoms at home on a regular basis made some participants feel in control and less anxious after episodes of severe breathlessness “Makes me feel I control of this illness” (ID 27, Female) and “Stops me panicking and wasting GP time” (ID 70, Female).

Self-management support: Fourteen respondents described self-management support, as empowering. They reported positive experiences in being able to track and trend their progression over time, “I am able to monitor my situation, helps to keep track” (ID 64, Female).

Overarching Theme 2: Barriers to using home monitoring in patients with ILD

Thirty-four participants reported negative effects with home-monitoring devices bringing “worries” “anxiety” in part due to “inaccurate” readings and “insignificant support” i.e. self- management without a ‘supportive’ component and / or technical challenges with devices (Fig 3).

Fig 3. Barriers to using home-monitoring in ILD patients.

Fig 3

Subthemes

Anxiety and worry: Respondents reported barriers and concerns using home-monitoring devices finding them to be disturbing, worrisome, inaccurate, burdensome, and complicated. One reason people cited for not using home-monitoring is that it negatively affected the way they thought of their illness.

Some negative effects of self-monitoring include developing an obsession with readings or living with a constant reminder of the illness. A sense of worry for some participants was that readings would be negative. Participants’ explanations ranged from anxiety and worries “Tend to unnecessarily get stressed on fluctuating readings, it makes you paranoid” (ID 48 Male); another participant said, “Makes you worry if your vitals are not where they should be” (ID 45 Male) and a third said, “Readings can be low without increased breathlessness leading to raised anxiety” (ID 86 Female). Some respondents reported lack of confidence in the accuracy of information provided by home-monitoring devices. “Measurements of oxygen saturation are difficult it seems 2 points lower than the one I use at hospital” (ID 32 Male). Another commented on feeling ‘ill equipped’ to monitor himself well.

Supportive Self-Management: Some respondents felt insufficient support was provided by clinical teams. Three key themes emerged; barriers to access (for some devices are too expensive n = 12) feedback on data and inadequate knowledge/ information with some respondents lacking confidence in interpreting the readings (n = 8) (Table 3). One participant overcame these barriers “I am a scientist, so I know value in data and went ahead to manage myself” (ID 31 Female). [Table 4]

Table 4. Barriers to use of home-monitoring in people living with ILD.

Access Feedback knowledge / information
“I want to feel well supported with easy and quick access to specialist ILD professionals that I can speak to if my symptoms or home-monitoring results change. Unless this is available, anxiety can occur more frequently than without home-monitoring” (ID 88 Male) “would appreciate monthly contact to discuss
condition” “no one to talk to”(ID 81 Male).
“Would be good if they were reviewed periodically by a specialist’ “I send my spirometry results off and hear nothing as if they have disappeared into a black hole. Some feedback would be welcome.” (ID 87 Male). ‘I
don’t contact anyone as
they’re not interested’(ID 6 Female) ‘problems I pick up
are ignored’ ‘what’s the point in telling them’ (ID 18 Female) ‘In the past medical staff question my results against their readings so I stopped
reporting back”(ID 92 Female).
‘I feel very let down around the information side of things. I feel there is plenty of information and support for COPD but very little support in my case for ILD” (ID 85 Female) ‘lack of knowledge about PF by GP’s and receptionists’ (ID 92 Male)
‘HCW reluctant for me to
monitor at home’ ‘mocked’ (ID 32 Female).

Technical challenges with devices: Respondents identified some challenges with home-monitoring devices, from a lack of familiarity and knowledge of digital device usage to lack of training. “I find the technology is a little tricky” (ID 96 Male) “Spirometry is hard work and am not confident I do it well” (ID 101 Male) “Not sure how to interpret readings” (ID 37 Male). “Won’t work and am not confident I do it well” (ID 101 Male). Another participant stated, “[I] use a plotted pressure monitor, but have no real idea what my BP should be or what the figures actually mean” (ID 78 Female). To summarize, respondents felt as if they needed more education or an explanation of what they were trying to look at and achieve.

Further, results indicate that participants experienced difficulties in understanding and interpreting the results of health monitoring captured in the following quotes: “hope I am reading it okay” (ID 37 Female), “I don’t have a clue what they mean” (ID 78 Female), “not sure what to do when sats in low 80’s’” (ID 98 Female), “Spirometry is hard work and I am not confident, I have no idea if this is the right thing to do” (ID 78 Female), “I have no idea what my BP should be and what the figures actually mean” (ID 78 Female), and “not sure how to interpret readings” (ID 11 Female).

The utilization of multiple digital devices for health monitoring presents a challenge for patients with ILD, as has been reported in the following quotes: “calluses on fingers. Doesn’t work if readings are low and different to hospital readings” (ID 12 Male). “Not sure of accuracy” (ID 21 Male). “Spirometer isn’t accurate”. (ID 81 Male) “Measurements of O2 sats are difficult” (ID 32 Male). “HR doesn’t work for me” (ID 73 Male). “Device doesn’t detect DLCO” (ID 88 Male). “Too complicated to set up” (ID 13 Female). “I find technology tricky” (ID 96 Male).

Overarching Themes 3&4: Experiences of using applications and the impact on condition management

Forty of the 63 respondents reported home-monitoring to be somewhat helpful; and 18 very helpful in managing their condition particularly mobile applications were “useful” “enabling help-seeking behaviors” “record Management” and "exercise motivation” (Fig 4).

Fig 4. Experiences of using applications and the impact on condition management.

Fig 4

Subthemes

Usefulness/enabling help-seeking behaviors: Respondents found applications in self-monitoring to be useful tools to monitor “vital signs and physical activity” (ID 84 Female). “The applications I use, also empower me to talk about my disease with HCP and changes I have noted” (ID 104 Male). “My Kardia application is usually reassuring when I think I have gone into Atrial fibrillation”, occasionally I have gone to A& E and taking the printout seems to help the staff” (ID 96 Male). “Handy for monitoring vital signs and helps monitor my walking” (ID 35 Male). Respondents found devices and home- monitoring were a tool to assist help-seeking: “[they] let me know if I need medical attention” (ID 12 Male); to pick up changes: “detect an exacerbation before it happens” (ID 104 Male) and to support communication with healthcare professionals: “Good to share with 111” (ID 31 Female); “low sats got me seen in hospital in 2 days” (ID 92 Male); “empowerment to talk about my disease with HCP and changes I have noted” (ID 104 Male). (Fig 4).

Record Management: Applications help to keep track of results and make access to records easy for participants and clinicians. One person liked: “to have a record of past results for comparison with more recent results” (ID 84 Female). Through record keeping people reported being able to “baseline” (ID 42 Male) and “keep track” (ID 64 & 31 Females) to “identify changes (ID 88 Male) and “take action” (ID 79 Male). Respondents felt positive outcomes of self-monitoring and record keeping in that they were enabled to quantify symptoms, which in turn helped with both anxiety management and help-seeking behavior.

Exercise Motivation: Respondents reported that using applications encourages physical activity: “Encourages me to go the extra few hundred yards”, “Good to keep an eye on how active I am” (ID 101 Male), “enables me to exercise safely (ID 104 Male)”.

Discussion

This survey adds to existing literature in ILD on the perspectives and experiences of home-monitoring for healthcare providers, including the prevalence of use, experience, contemporary methods, enablers, and barriers [13,20,26,27]. A major contribution of this survey is to extend the research to cover people living with ILD, including patients’ usage and experience of a range of devices, and the utility of digital devices. Although the results of this mixed-methods survey have demonstrated that digital devices are widely used among patients with ILD, the views and perspectives regarding the use of these devices is varied. The introduction of digital devices as an effective and efficient solution might not be the panacea some perceive. Digital devices address some needs but create others that were unanticipated, including large amounts of data that patients may require feedback on and psychosocial challenges that cannot be ignored.

Our findings show that interest in digital devices seems to stem from the perceived positive effects of using home-monitoring devices, which have provided “reassurance”, “confirmation”, “peace of mind” and “self-management support” during home-monitoring. In contrast, some respondents have also found home-monitoring devices to bring “worries” and “anxiety”, in part due to “inaccurate” and “insignificant support”. Specifically, patients with IPF where the condition had progressed to a certain stage where symptoms were more apparent and where carrying out the task (e.g. spirometry) would trigger coughing and give unreliable results, which demotivated and discouraged further use.

Our findings mirror those of previous studies, in which remote monitoring was reported to be acceptable among patients with ILD [79,11,12,14,2830]. In a 24-week randomized control trial, Moor et al. [11] demonstrated that home-monitoring was appreciated and highly acceptable to patients. Edwards et al. [8]. used a mobile app and home spirometry in patients with IPF for six weeks and found that patients were happy and wished to continue using the apps at the end of the study.

The findings further elaborate on how self-monitoring using digital devices helps patients with ILD to contact their GP or ILD specialists regarding medication side effects and therapy response. Broos et al. [31] and Moor et al. [11] similarly demonstrated that home-monitoring assisted continuous evaluation of the patient’s response to therapy and allowed for individualized treatment adjustment.

Our results also illustrate that digital devices allow patients with ILD to exercise control over their health. The greatest benefit expressed was knowing when to seek medical help or attention due to self-monitored results. Our findings agree with previously published studies, demonstrating that involving patients in monitoring their own health gives them feeling of being in control over their own health status [9,32,33]. Respondents were reassured by their use of home-monitoring devices, particularly in relation to oxygen saturation monitoring. This implies that digital devices may have an effect on the daily experiences of patients with ILD. This valuable finding sheds light on the need to continuously support future users of digital devices.

Participants reported that utilizing mobile applications and wearables can be an effective way to promote physical activity. Wallaert et al. [34] and Root et al. [35] highlighted the importance of daily physical activity for patients with IPF in managing their condition, whilst Bahmer et al. [35,36] demonstrated that there is a link between progression of IPF and decreased physical activity. These digital devices can be useful in providing patients with real-time feedback on their physical activity levels, personalized goals, and reminders to stay active, which can improve adherence to exercise regimes and enhance the quality of life for patients with IPF.

Despite the encouraging results of using digital devices, our study found several challenges and obstacles in relation to the use of home-monitoring devices among patients with ILD and IPF, more specifically. These challenges and obstacles experienced by patients are consistent with prior studies of patients with ILD [14,37]. Our findings revealed that the use of home-monitoring devices may create additional anxiety for patients with ILD. Many patients reported feeling anxious about low readings from the devices, even when they were not experiencing increased breathlessness. It is worth noting that anxiety is a common comorbidity among people with IPF [38]. Additionally, patients have expressed doubts about the accuracy of the information provided by home-monitoring devices, and this lack of confidence can be further intensified by a lack of support. Consistent with previous research, the results reveal that digital devices may influence self-perception and self-image in relation to health status. Self-monitoring via home-based digital devices is related to an obsession with readings and is found to be a constant reminder of living with an illness and diagnosis [23,37]. Thus, it can be a source of anxiety and worry among patients with ILD [39,40].

Secondly, our findings show that a lack of adequate support, such as insufficient training, barriers to access, and inadequate knowledge among non-specialist staff, can impede the effectiveness of remote monitoring interventions. Moor et al. [11] found that providing sufficient training and easy access to a helpdesk for technical issues, as well as real-time alerts and feedback, significantly increased adherence to home-monitoring with handheld spirometry during a 24-week randomized controlled trial [11]. As a result, we argue that it is essential for remote monitoring programs to include a dedicated hotline and helpdesk for technical support and that there is a need for support groups for ongoing assistance. However, alternative forms of support, such as email or asynchronous communication, should also be considered to ensure that the program is cost-effective, while still providing the necessary support to participants.

Thirdly, our results identified technical difficulties as a major challenge for patients with ILD, specifically in terms of the lack of technical support to address the troubleshoot these issues. While previous studies have shown that both daily [8,10,12,29,41], and weekly [7,9] home based spirometry measurements are acceptable and easy [42], our findings show that these technical difficulties can impede the use of these devices. These findings are consistent with previous research on remote monitoring of ILD patients, where Maher and colleagues [41,43] reported technical problems that prevented the primary endpoint analysis of spirometry measurements.

Future implications

Patients with ILD are at risk of disease progression including deterioration of lung function over time [44]. The risk of disease progression depends on the specific type of ILD, as well as the individual patient’s disease course [45]. Early access to digital devices during the treatment pathway, while individuals are actively seeking information and education, has the potential to provide greater benefits and encourage positive lifestyle changes [16]. The use of digital devices is becoming integral to the overall monitoring and support framework and standard of care for patients. Such approaches can empower patients to measure and monitor the progression of their condition objectively. Using commercially available devices (e.g. wearables, handheld spirometry, non-contact monitors, and mobile apps) could allow early intervention for managing ILD and slowing the rate of deterioration.

We must be mindful of difficulties in using devices or getting reliable results for individuals where the condition had progressed or when symptoms are more apparent. Of the 58 respondents who added comments 29 reported that the measurements they obtained were variable, 18 that these were stable. To ensure the success of these interventions, our findings highlight the importance of addressing the following:

  • Adequate financial resources

  • Meaningful patient involvement in the design of supported self-management programs

  • Shared decision-making to inform adaptation/cessation of device usage when the burden may outweigh the benefits.

  • Accessibility of cost-effective home-monitoring equipment

  • Training in the utilization of digital devices and interpretation of data for patients and clinicians

  • Technical support for addressing issues related to digital devices

  • Effective communication between healthcare providers and patients regarding results and timely action planning

  • Need for more evidence e.g. RCTs

Strengths and limitations

The strength of this survey is that it captures both qualitative and quantitative information on remote monitoring in patients with ILD and is the first of its kind in ILD in the UK. It demonstrates an appetite and motivation to self-monitor. The survey has some limitations, for example, the representativeness of the sample, as the participants were predominantly from the UK and self-selecting. The distribution was exclusively electronic and reliant on non-governmental organizations and Twitter so necessitated some social engagement and digital literacy. Whilst men use the Internet more for informational purposes, women’s usage is reported to be more for social and expressive purposes [46], which may explain the higher female response rate in this survey, unexpected in an ILD population, particularly IPF a male dominant condition. Whilst people’s use of social media, and other methods has increased as a consequence of the COVID-19 pandemic, we may not have captured the perspectives of lower-income and minority populations. Notably, we did not receive any request for translation of the survey.

Conclusion

We aimed to quantify patients’ usage and experiences of electronic devices in ILD. Our survey and analysis illustrate the extent to which patient expertise has the potential to drive health system priorities. Having lived through the COVID-19 pandemic, people with complex health conditions have learned how to navigate the challenges of self-monitoring and are influencing how we deliver routine healthcare. Our work demonstrates that digital approaches, are an important component of a supported self-management program but further work is needed to develop bespoke digital pathways of care tailored to individual needs. This requires solution focused thinking to meet the needs of wide ranging digital abilities in those with chronic health conditions and political commitment to optimize wifii connections for those in rural and harder to reach communities, the very people most likely to benefit from supportive self-management approaches. Health economic evaluation of digital care pathways is very much needed alongside an in-depth exploration of the impact of home monitoring using digital devices on the family dynamic. Digital devices will continue to be embedded in our lives and they yield clinically useful data as a component of not a replacement for traditional models of healthcare.

Supporting information

S1 Data. Digital devices ILD survey de-identified data set.

CSV files contains raw survey data questions as asked and participants responses available at 10.6084/m9.figshare.24569851

(CSV)

Acknowledgments

We are grateful to the Exeter Patients in Collaboration for Pulmonary Fibrosis Research (EPIC-PF) group for their support with the survey design and distribution.

Data Availability

The fully de-identified research data supporting this publication are openly available as S1 Data and at 10.6084/m9.figshare.24569851.

Funding Statement

This work was supported by a Health Education England Population Health fellowship to RS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of this manuscript. None of the other co-authors received specific funding for this work.

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PLOS Digit Health. doi: 10.1371/journal.pdig.0000318.r001

Decision Letter 0

Haleh Ayatollahi

31 Aug 2023

PDIG-D-23-00257

Towards self-management for patients with Interstitial Lung Diseases: Utility and Acceptability of Digital Devices

PLOS Digital Health

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Reviewer #1: General

1. There are capitalization errors, punctuation errors, missing symbols (trademark or copyright, such as for commercial software and technology) and run-on sentences throughout (not further identified in this review)

2. While the purpose is identified, the abstract lacks sufficient details regarding clear statement of study objectives, I/E criteria for respondents, survey tool validation, timeline, data areas/elements, content areas, and data analysis (descriptive, hypothesis testing, etc). It is unclear if the responses were anonymous. Without these elements, the data summary appears to be somewhat random and it is unclear if the conclusions address the objectives and/or are justified.

3. Abstract (and elsewhere) states 65 respondents completed the survey, but reports data on the 89 that met eligibility criteria. It is therefore unclear if survey completion is needed for data inclusion. The denominator for responses is inconsistent, implying incomplete survey or data subsets being presented. Because of the changing denominators, they should be consistently reported throughout the results section as well.

4. Much of the data summarized in the results narrative is available in summary form elsewhere and is difficult to follow. Demographics could best be summarized by a table.

5. Given the variable denominators for responses, it is essential to indicate the total number of responses within a category so that the percentages can be verified. In come cases, data within a topic area with what appears to be exclusive responses totals more than 100%.

Specific

1. (p2) reference to “….. device issue and data collection” is out of context and unclear. No description of what devices/technology are being utilized by patients and included as a target by this study in the Introduction section.

2. (p2) what is meant by “….across the wider i healthcare team.”?

3. (p3) for survey content area, what is the difference between “device” and “technology”.

4. (p3) there is no clear description within the methods section of subject inclusion/exclusion, response inclusion/exclusion (such as the need for completed/partial responses), timeline (dates), geographic distribution

5. (p5) Qualitative data summaries using descriptions like “several participants…” and “some participants” might be confusing to many readers.

6. (p6, Table 1). Clarify total number of responses so that % can be calculated for each response. Yes/No answer can be consolidated into “Use of device to monitor vital signs (n, %). Its unclear if device type categories should be exclusive for the first 3 choices, yet total more than 100%. Unclear how branching logic impacted %, since those not using devices could not respond to type and advice. % Totals within categories (such as Advise on interpreting spirometry readings) with exclusive responses exceed 100%.

7. (p8) Statement beginning “Whilst we recommend….” Is confusing and should be reworded. What is meant by “CE marked”?

8. (p10) Denominators for the responses are not provided. Uncertain why ID numbers and genders are provided within the narrative.

9. (Figure 1) Contains overlapping data quantity labels within the figure so unable to interpret. No figure legend was provided

10. (Figure 2) Lacks quantitative data to determine how frequent the themes were presented. Perhaps this could be done by the size of the theme’s figure. A figure legend is needed to explain the connections.

11. (Figure 3) see above comments re: Figure 2

12. (Figure 4) not included in my copy

Reviewer #2: In the introduction, page 5, the authors indicate that digital devices should be used by ILD patients experiencing intractable breathlessness and psychological distress. The literature indicates that digital devices are recommended for all patients having ILD. It would be good if the authors clarify why they only recommend digital devices in critical conditions. Are digital devices useful in other conditions in ILD patients?

There are some typo mistakes that should be corrected.

The conclusion is very short for the work that the authors present. What are the conclusions about concerns or difficulties experienced by the patients? Any way to address those concerns and difficulties? Any suggestions about the periodicity to use the digital devices? Why?

The lower right part of figure 3 is practically illegible.

Reference 8 is from 2023, citation should be corrected.

Reviewer #3: This survey study aims to promote the use of digital devices for self-management among patients with interstitial lung disease (ILD). It provides valuable insights into the requirements for enhancing digital device use among ILD patients, a trend that has been growing recently.

However, it is necessary to hypothesize why ILD patients need to self-manage using digital devices and the potential benefits their widespread use could bring to healthcare. ILD patients have traditionally been inclined towards self-monitoring and management, such as home oxygen therapy. The assumed benefits of monitoring disease status include early intervention, prevention of disease progression, and reduction in healthcare costs. The analysis and discussion could be improved, and ideally, the study should be expanded to include more subjects and reassess the following points:

1. Social factors significantly influence the use of digital devices. ILD patients are predominantly older men, often facing income and health literacy challenges. In this study, 33% of patients were under 60 and mostly women, which deviates from the typical ILD patient demographic. It is important to encourage self-management among those not included in this study, particularly those with low digital literacy and self-management difficulties.

2. The type of devices used likely varies based on the patient's disease stage and treatment. It is crucial to analyze the barriers to management and the necessary support, depending on the patient's background and disease stage in each study.

3. Despite the absence of economic-related questions in the questionnaire, the sudden mention of financial resources and cost-effectiveness issues in the author's eight points on page 18 is concerning. If this is a factor, the questionnaire and analysis should include patient income and perceptions of cost-effectiveness.

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Reviewer #1: No

Reviewer #2: Yes: Cleva Villanueva

Reviewer #3: Yes: Yayoi Tetsuou TSUKADA

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PLOS Digit Health. doi: 10.1371/journal.pdig.0000318.r003

Decision Letter 1

Haleh Ayatollahi

13 Nov 2023

Supporting self-management for patients with Interstitial Lung Diseases: Utility and Acceptability of Digital Devices

PDIG-D-23-00257R1

Dear Dr Russell,

We are pleased to inform you that your manuscript 'Supporting self-management for patients with Interstitial Lung Diseases: Utility and Acceptability of Digital Devices' has been provisionally accepted for publication in PLOS Digital Health.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow-up email from a member of our team. 

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they'll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact digitalhealth@plos.org.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Digital Health.

Best regards,

Haleh Ayatollahi

Section Editor

PLOS Digital Health

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Reviewer Comments (if any, and for reference):

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

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2. Does this manuscript meet PLOS Digital Health’s publication criteria? Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe methodologically and ethically rigorous research with conclusions that are appropriately drawn based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: N/A

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4. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS Digital Health does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Addressed major comments adequately. Revision greatly improved.

Reviewer #2: The authors addressed all the questions and changed the manuscript accordingly. The manuscript follows all the requirements of Plos Digital Health and all data are available. Figure 3 is not readable (lower part in the right), it would be good if letters go in black. The manuscript is acceptable to be published at Plos Digital Health.

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Reviewer #1: No

Reviewer #2: Yes: Cleva Villanueva

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Data. Digital devices ILD survey de-identified data set.

    CSV files contains raw survey data questions as asked and participants responses available at 10.6084/m9.figshare.24569851

    (CSV)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    The fully de-identified research data supporting this publication are openly available as S1 Data and at 10.6084/m9.figshare.24569851.


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