Published on in Vol 4, No 1 (2015): Jan-Mar

Patterns of Technology Use in Patients Attending a Cardiopulmonary Outpatient Clinic: A Self-Report Survey

Patterns of Technology Use in Patients Attending a Cardiopulmonary Outpatient Clinic: A Self-Report Survey

Patterns of Technology Use in Patients Attending a Cardiopulmonary Outpatient Clinic: A Self-Report Survey

Original Paper

1Centre for Cardiovascular and Chronic Care, Faculty of Health, University of Technology, Sydney, Broadway, Australia

2Discipline Palliative and Supportive Services, Flinders University, Adelaide, Australia

3St Vincent's Hospital and Victor Chang Cardiac Research Institute, Sydney, Australia

4St Vincent's Hospital, Sydney, Australia

5Physiological Nursing, University of California, San Francisco, CA, United States

6Department of Acute and Chronic Care, Johns Hopkins University, Baltimore, MD, United States

*all authors contributed equally

Corresponding Author:

Rebecca T Disler, BN, BSc, PGDipAdvPractice, MSc(Research)

Centre for Cardiovascular and Chronic Care

Faculty of Health

University of Technology, Sydney

PO Box 123

Broadway, NSW 2040

Australia

Phone: 61 427466732

Fax:61 427466732

Email: rebecca.disler@uts.edu.au


Background: Self-management education for cardiopulmonary diseases is primarily provided through time-limited, face-to-face programs, with access limited to a small percentage of patients. Telecommunication tools will increasingly be an important component of future health care delivery.

Objective: The purpose of this study was to describe the patterns of technology use in patients attending a cardiopulmonary clinic in an academic medical center.

Methods: A prevalence survey was developed to collect data on participant demographics (age in years, sex, and socioeconomic status); access to computers, Internet, and mobile phones; and use of current online health support sites or programs. Surveys were offered by reception staff to all patients attending the outpatient clinic.

Results: A total of 123 surveys were collected between March and April 2014. Technological devices were a pervasive part of everyday life with respondents engaged in regular computer (102/123, 82.9%), mobile telephone (115/117, 98.3%), and Internet (104/121, 86.0%) use. Emailing (101/121, 83.4%), researching and reading news articles (93/121, 76.9%), social media (71/121, 58.7%), and day-to-day activities (65/121, 53.7%) were the most common telecommunication activities. The majority of respondents reported that access to health support programs and assistance through the Internet (82/111, 73.9%) would be of use, with benefits reported as better understanding of health information (16/111, 22.5%), avoidance of difficult travel requirements and time-consuming face-to-face appointments (13/111, 18.3%), convenient and easily accessible help and information (12/111, 16.9%), and access to peer support and sharing (9/111, 12.7%). The majority of patients did not have concerns over participating in the online environment (87/111, 78.4%); the few concerns noted related to privacy and security (10/15), information accuracy (2/15), and computer literacy and access (2/15).

Conclusions: Chronic disease burden and long-term self-management tasks provide a compelling argument for accessible and convenient avenues to obtaining ongoing treatment and peer support. Online access to health support programs and assistance was reported as useful and perceived as providing convenient, timely, and easily accessible health support and information. Distance from the health care facility and a lack of information provision through traditional health sources were both barriers and enablers to telehealth. This is particularly important in the context of a cardiopulmonary clinic that attracts patients from a large geographical area, and in patients who are most likely to have high health care utilization needs in the future. Telecommunication interfaces will be an increasingly important adjunct to traditional forms of health care delivery.

Interact J Med Res 2015;4(1):e5

doi:10.2196/ijmr.3955

Keywords



The increasing burden of non-communicable diseases, such as heart and respiratory disease, is placing increasing pressure on global health systems [1,2]. The incidence and cumulative burden of these chronic progressive disorders is accentuated through population aging [1]. The prevalence of chronic heart failure (CHF) is 23 million worldwide with an overall prevalence of 2-3% of the population in the United States and Europe [2-5]. The global prevalence of chronic obstructive pulmonary disease (COPD) is estimated at 65 million and COPD is now responsible for 5% of all deaths globally [6,7]. Despite optimal pharmacological and medical treatments, individuals with COPD and CHF continue to experience high symptom burden, most commonly dyspnea and fatigue [8-12]. Both COPD and CHF are frequent causes of hospitalization and require self-management strategies [8-12]. The economic costs of COPD are approximately US$ 40 billion annually and this financial burden will only increase [8-12]. Daily symptoms, poor physical functioning, progressive social isolation, and caregiver burden contribute to this disease burden [6,7,13].

The burden of non-communicable diseases extends over time and the life course [14,15]. Self-management education for people with COPD and CHF, including symptom management strategies, exercise, and reinforcement of activity and medication adherence, are primarily provided through pulmonary and cardiac rehabilitation and heart failure specific disease management programs [16-20]. These interventions are commonly episodic, of short duration, and available only to a small percentage of individuals [16,17], with access limited by functional debilitation associated with chronic illness [21,22]. Although discrete disease management strategies are an integral element of evidence-based care, it is increasingly apparent that there are some symptom management issues that are germane across chronic conditions [23]. Self-management support should be targeted through multiple modes of delivery with a broad-based symptom focus [24]. Although chronic conditions such as COPD and CHF have received greater attention from the medical community over the past decades, the burden of disease at an individual level is less well recognized [25].

The most effective and economically sustainable approaches to support patients with chronic illnesses such as COPD and CHF, beyond acute exacerbations, require future investigation [13,18,24,26-28]. The disease burden and long-term tasks of self-management that confront patients are a compelling argument for accessible and convenient avenues to obtaining ongoing treatment and peer support [29-31]. Access to Web-based health information and support is well established in the United States with a recent report noting that over 50% of adults aged over 65 years use the Internet [28,32-35]; however, internationally, use is not so widespread [28,30-36]. In the Australian context, studies have explored Web-based health interventions, but there is limited information as to the patterns of technology use in this particular patient group [37].

Although technology access is challenging for some older adults who are the most burdened with chronic conditions, communication tools have become a critical component of health care delivery [29-31]. Rapid advances in tools that provide instant access to health information and rich resources for self-care have already created paradigm shifts in health consumer attitudes about their health and health care [28-31]. The evolution of eHealth (health care delivery through Internet and telehealth communications for surveillance, health promotion, and symptom or disease management) and the introduction of mHealth (monitoring, personal digital assistants, and other wireless devices) are markedly altering the collaboration and interaction between consumers, health providers, and institutions [38-40]. Asynchronous forms of health interaction, such as through email or discussion boards, allow individuals to receive self-management and condition support by posing questions to their provider without having to establish a formal face-to-face consultation (synchronous interaction) [36,41]. These converging factors will shape the development and testing of future interventions aimed at improving health outcomes and reducing costs across chronic illnesses. The new generation of empowered health consumers will expect that health care systems accommodate their changing needs and preferences for how they receive care, including access to evidence-based therapies [28-31].

In order to determine the future feasibility of Internet-based health care delivery, the reported prevalence study was undertaken to describe the patterns of technology use in patients attending a cardiopulmonary clinic in an academic medical center. The cardiopulmonary patients responding to this survey have provided a sample of those individuals most likely to have high health care utilization needs in the future; it is important to take this initial step in understanding whether these consumers are technology ready [42-44].


Objective

The objective of the study was to describe the prevalence and patterns of technology use in patients attending a cardiopulmonary outpatient clinic through a self-report survey.

Recruitment

Patients attending a cardiopulmonary outpatient clinic at an academic medical center were invited to participate in this anonymous survey. All patients attending the cardiopulmonary outpatient clinic were eligible to participate.

The cardiopulmonary clinic is located within an academic medical center and provides services for patients with a variety of conditions including COPD, CHF, advanced lung disease, heart transplantation, and pulmonary hypertension. This clinic is a central referral setting for surrounding regional areas; consequently, individuals travel from all areas within the state to access specialist treatment.

Instrument

A prevalence survey was developed in consultation with experts in the field of chronic illness and Internet-based health care delivery. The survey was presented in four sections with 11 questions used to capture information on participant demographics (age in years, sex, socioeconomic status); access and use of computers, Internet, and mobile telephones; and currently accessed health support sites. Socioeconomic status was described using the Australian socioeconomic indexes for areas (SEIFA) [45]. These indices summarize “the relative socioeconomic advantage and disadvantage of areas using data from the Census of Population and Housing” and are reported through Australian area postcode (area zip code). Indices are based on a number of variables including employment, private and rented occupied housing, family makeup, and highest qualification, to name a few [45]. Nominal tick boxes and free text short answer questions were used to collect responses. Respondents were able to give multiple answers to appropriate nominal and free text questions, noted by “please tick all that apply”.

The survey was piloted for 1 week in the cardiopulmonary clinic and 10 surveys were checked for completion and coherence with the questions asked prior to continuing with data collection. There was limited missing data in this initial phase, however, “Please turn over” was added to the bottom of the page for ease. No other adjustments were required. The final survey contained four sections with 11 questions and took approximately 5-10 minutes to complete (see Multimedia Appendix 1).

Data Collection

Surveys were offered by reception staff to all patients attending the outpatient clinic at appointment registration. Surveys on clipboards were also placed on tables within the waiting area for patients to complete as they wished. Participation was voluntary with hard copy surveys completed and placed anonymously in a sealed submission box within the waiting area.

Data Analysis

Descriptive statistics were used to analyze all aspects of the survey data.

Ethical Issues

Ethical approval was provided by the collaborating academic institution and clinical site; approval numbers LHR/13/SVH/5 and 2012-149A. Participation was voluntary and anonymous.


Respondents

A total of 123 surveys were collected between March and April 2014. Approximately 543 patients attended appointments at the cardiopulmonary clinic during the study period, resulting in an overall response rate of 22.7%. The overwhelming majority of respondents completed the survey questions in full. This took into consideration respondents who answered “no” to regular computer or Internet who were precluded from completing particular subsequent questions; all previous responses from these respondents were included in the descriptive statistics. All 123 respondents answered questions in regards to gender, with more females (72/123, 58.5%) noted to have completed the surveys than males (51/123, 41.5%). Age was reported in 118 of 123 (95.9%) surveys with median respondent age of 56 years (range 18-77), and 52.5% (62/118) of respondents aged between 50 and 64 years. All respondents noted their area zip code and from this just under half (55/123, 44.7%) of the respondents were considered to live in middle socioeconomic areas with under one-third coming from low socioeconomic areas (32/123, 26.0%) and under one-third living in high socioeconomic areas (36/123, 29.3%) (Table 1).

Table 1. Respondent demographic characteristics.
Descriptive characteristicsn (%)
Gender (n=123)

Male51 (41.5)

Female72 (58.5)
Age, years (n=118)

Median (range)56 (18-77)

Under 5042 (35.6)

50-6462 (52.5)

Over 6514 (11.9)
Socioeconomic indexes for areas based on postcode (SEIFA), Australia, 2011a(n=123)

Low income (Deciles 1 and 2)32 (26.0)

Middle income (Deciles 3 to 8)55 (44.7)

High income (Deciles 9 and 10)36 (29.3)

aAustralian Bureau of Statistics. Socioeconomic indexes for areas: robustness, diversity within larger areas, and the new geography standard Commonwealth of Australia 2012; ABS Catalogue no. 1351.0.55.038.

Computer Use

All 123 respondents answered questions related to computer use with the majority of respondents engaged in regular computer use (102/123, 82.9%), defined as more than four times per week. The overwhelming majority had access to a device at home (118/123, 95.9%) mainly in the form of a laptop (91/123, 77.1%); however, over half additionally had access to a desktop (60/123, 50.8%) and a tablet (60/123, 50.8%). Fewer than half the respondents had access to a computer at work for personal use (58/123, 47.2%) and in most cases this access was a desktop computer (44/58, 75.9%). There was no marked difference in computer use across age groups or gender; however, respondents who came from lower socioeconomic areas (32/123, 26.0%) noted less regular computer use (24/32, 75%) compared with other groups (47/55, 85% in middle and 31/36, 86% in high socioeconomic groups) (Table 2).

Table 2. Questions relating to access and use of technology.
Access to technologyn (%)a
Regular computer use (n=123) 

Yes102 (82.9)

No21 (17.1)
Regular computer use, “yes”, by age group, years (n=118)

Under 50 (n=42)33 (78.6)

50 – 65 (n=62)53 (85.5)

65 and over (n=14)11 (78.6)
Regular computer use, “yes”, by socioeconomic areab(n=123)

Low socioeconomic area (n=32)24 (75.0)

Middle socioeconomic area (n=55)47 (85.5)

High socioeconomic area (n=36)36 (86.1)
Access to a computer device at home (n=118)

Desktop60 (50.8)

Laptop91 (77.1)

Tablet60 (50.8)
Access to a computer device through work (n=58)

Desktop44 (75.9)

Laptop31 (53.4)

Tablet17 (29.3)
Regular Internet use (n=121) 

Yes104 (86.0)

No17 (14.0)
Regular Internet use, “yes”, by age group, years (n=116)

Under 50 (n=41)37 (90.2)

50 – 65 (n=62)52 (83.9)

65 and over (n=13)11 (84.6)
Regular Internet use, “yes”, by socioeconomic areab(n=121)

Low socioeconomic area (n=32)25 (78.1)

Middle socioeconomic area (n=54)48 (88.9)

High socioeconomic area (n=35)31 (88.6)
Mode of Internet access at home (n=120)

Yes113 (94.2)

No7 (5.8)
If yes to home Internet access, (n=110)

Wireless61 (55.5)

Broadband34 (30.9)

Cable/DSL/fiber9 (8.2)

Dial-up2 (1.8)

Unsure4 (3.6)
Mode of Internet access outside the home (n=120)

Yes81 (67.5)

No39 (32.5)
If yes to Internet access outside the home (n=93)

At work62 (66.7)

Via public wireless58 (62.4)

Via smartphone31 (33.3)

Via friend’s place24 (25.8)

Via Internet café10 (10.8)
Key Internet activities (n=121) 

Emailing101 (83.4)

Browsing, researching, reading news articles93 (76.9)

Social media71 (58.7)

Day to day activities (shopping, banking, and browsing)65 (53.7)

Browsing for health information56 (46.3)

Skype or video calls36 (29.8)
Access to a mobile phone (n=117) 

Yes115 (98.3)

No2 (1.7)
Key mobile phone activities (n=115) 

Phone calls111 (96.5)

Sending texts100 (86.9)

Internet browsing62 (53.9)

Checking and sending emails57 (49.5)

Other (playing games, social media, apps)6 (5.3)

aMultiple responses to questions were accepted in free text questions and respondents were instructed to “tick all that apply” when responding to nominal questions. In this context, the sum of percentages will be more than 100%.

bAustralian Bureau of Statistics. Socioeconomic indexes for areas: robustness, diversity within larger areas, and the new geography standard Commonwealth of Australia 2012; ABS Catalogue no. 1351.0.55.038

Mobile Phone Use and Activities

The majority (117/123, 95.1%) of respondents answered questions related to mobile phone use and activities, with all but two respondents reporting that they used a mobile phone (115/117, 98.3%). Phone calls (111/115, 96.5%) and sending texts (100/115, 86.9%) were the two main activities carried out using a mobile phone. Over half of the respondents additionally used their phone for Internet browsing (62/117, 53.0%) and half for checking and sending emails (57/115, 49.5%) (Table 2).

Internet Use and Activities

The majority (121/123, 98.4%) of respondents answered questions related to Internet use and activities, with the majority reporting regular Internet use (104/121, 86.0%). Internet use did not differ across age or gender; however, similar to computer use, those from lower socioeconomic areas had a reduced regular Internet use (25/32, 78%). Internet in the home setting was accessed by 94.2% (113/120) of respondents and in the main this was through wireless (61/110, 55.5%) or through broadband access (34/110, 30.9%). The majority of respondents also reported access to the Internet outside the home (81/120, 67.5%) and this was accessed either at work in line with computer access above (62/93, 67%) or through public wireless (58/93, 62%). A further third of individuals additionally had access to the Internet through smartphones (31/93, 33%) and others had access through a friend’s home (24/93, 26%) and Internet cafes (10/93, 11%) (Table 2).

The main activities undertaken through an Internet platform were reported in 121 of 123 (98.4%) of respondents with emailing (101/121, 83.4%), browsing, researching, and reading news articles (93/121, 76.9%), accessing social media (71/121, 58.7%), and day-to-day activities including online shopping, banking, and general browsing (65/121, 53.7%), as the most common. Just under half of respondents (56/121, 46.3%) used the Internet to browse health information and under a third (36/121, 29.8%) for Skype and video calling (Table 2). More female respondents noted that they used the Internet for both social media (female 50/69, 72% vs male 21/47, 45%,) and daily activities including online shopping banking and browsing (female 42/69, 61%, vs male 23/47, 49%) compared with their male counterparts. In regard to socioeconomic status, those from higher income areas showed a higher rate of email (32/34, 94% vs 43/51, 84% and 26/31, 84% in middle and lower socioeconomic groups respectively), research and reading the news (30/34, 88% vs 39/51, 76% in middle and 39/51, 77% in lower socioeconomic groups), and accessing health information through the Internet (21/34, 62% vs 23/51, 45% in middle and 12/31, 39% in lower socioeconomic groups). Those respondents from middle socioeconomic areas were more likely to access social media (37/51, 73%) compared with the other groups (17/34, 50% in higher and 17/31, 55% in lower socioeconomic groups). Respondents from lower socioeconomic areas were additionally less likely to Skype (6/31, 19% vs 12/34, 35% in higher and 18/51, 35% in lower socioeconomic groups) or engage in daily online activities, such as shopping, banking, and browsing (11/31, 35% vs 23/34, 86% in higher and 31/51, 61% in lower socioeconomic groups) (Table 2).

The Potential for Web-Based Support and Information

The majority of respondents (111/123, 90.2%) answered questions in relation to access, concerns, and use of technology-based health websites. The majority answered that they would find it useful to have access to support programs and assistance with health problems through the Internet (82/111, 73.9%). Respondents between the ages of 50 to 65 years had a slightly higher positive response to this (45/54, 83%) compared with those in the under 50 years group (25/40, 63%) and the over 65 years group (8/12, 67%). Interestingly, those from higher socioeconomic areas were less likely to respond positively to finding benefit from online support and information, with only 67% (22/33) responding “yes”, compared with 75% (21/28) in lower socioeconomic areas and 78% (39/50) in middle socioeconomic areas. The majority of respondents gave reasons as to why they would access online support (71/111, 63.9%) with the main reasons being: better able to understand health information and condition management (16/71, 23%), avoid difficult travel requirements and time-consuming face-to-face appointments (13/71, 18%), and have convenient and easily accessible help and information (12/71, 17%). Nine (13%) of 71 reported “the more help the better” or words to that effect, and nine (13%) of 71 noted the benefit of peer support and sharing. It is also important to note that six (8%) of 17 respondents wrote that online information would address the difficulty they experienced in accessing information from their health providers and a further six (8%) of 71 noted that they would be able to get up-to-date advice on management and treatments (Table 3).

Table 3. Questions regarding online access, concerns, and currently used sites.
Online access, concerns and currently accessed sitesn (%)a
Would you find it useful to be able to access support programs using the Internet to assist you with your health problems? (n=111)

Yes
82 (73.9)

No
29 (26.1)
Would you find access through Internet useful, “yes”, by age group, years (n=106)

Under 50 (n=40)
25 (62.5)

50 – 65 (n=54)
45 (83.3)

65 and over (n=12)
8 (66.7)
Would you find access through Internet useful, “yes”, by socioeconomic areab(n=111)

Low socioeconomic area (n=28)
21 (75.0)

Middle socioeconomic area (n=50)
39 (78.0)

High socioeconomic area (n=33)
22 (66.7)
Reported reasons (n=71)

Better understanding of health information and condition management
16 (22.5)

Avoid difficult travel requirements and less time consuming
13 (18.3)

Convenient and accessible help and information
12 (16.9)

“The more help the better”
9 (12.7)

Peer support and sharing
9 (12.7)

Address difficulty in accessing disease information from health providers
6 (8.5)

Up-to-date advice on management and treatments
6 (8.5)
Are there health education or social group sites on the Internet that you have found helpful? (n=112)

Yes
60 (53.6)

No
52 (46.4)
Health education or social group sites helpful, “yes”, by age group, years (n=107)

Under 50 (n=38)
20 (52.6)

50 – 65 (n=57)
29 (50.9)

65 and over (n=12)
7 (58.3)
Health education or social group sites helpful, “yes”, by socioeconomic areab(n=112)

Low socioeconomic area (n=30)
14 (46.7)

Middle socioeconomic area (n=48)
27 (56.3)

High socioeconomic area (n=34)
19 (55.9)
Reported health education or social group sites (n=52)

Health organization or research sites
16 (31)


Australian Heart/Lung Transplant Association7 (43.8)


Diabetes3 (18.8)


Heart Lung Transplant Network1 (6.3)


Arthritis Australia1 (6.3)


Cystic Fibrosis1 (6.3)


Hemochromatosis organization1 (6.3)


Heart and lung sites1 (6.3)


Heart foundation1 (6.3)

General browsing for health information and education
13 (25.0)

Medication and treatment information and side effects
9 (17.9)

Facebook for disease-specific support groups
8 (15.4)

Donate Life
1 (1.9)

Health rebate and concession information
1 (1.9)

Online mental health programs (Sadness and Depression program)
1 (1.9)
Would you have any concerns about participating in support programs via the Internet? (n=111)

Yes
24 (21.6)

No
87 (78.4)
Concern about participating, “yes”, by age group, years (n=106)

Under 50 (n=41)
8 (19.5)

50 – 65 (n=53)
12 (22.6)

65 and over (n=12)
3 (25.0)
Would you find access through Internet useful, “yes”, by socioeconomic areab(n=111)

Low socioeconomic area (n=28)
5 (17.9)

Middle socioeconomic area (n=50)
13 (26.0)

High socioeconomic area (n=33)
6 (18.2)
Reported concerns (n=15)

Privacy and security
10 (66.7)

Accuracy of information
2 (13.3)

Computer literacy and access
2 (13.3)

Limited Australian-based sites
1 (6.7)

Misinterpretation of information
1 (6.7)

No support group for my condition
1 (6.7)

aMultiple responses to questions were accepted in free text questions and respondents were instructed to “tick all that apply” when responding to nominal questions. In this context, the sum of percentages will be more than 100%.

bAustralian Bureau of Statistics. Socioeconomic indexes for areas: robustness, diversity within larger areas, and the new geography standard Commonwealth of Australia 2012; ABS Catalogue no. 1351.0.55.038.

Health Information and Education Websites Currently Accessed

The majority of respondents answered questions relating to health information and education sites currently accessed through the Internet (112/123, 91.1%). Over half of the respondents were already accessing websites that they felt were useful (60/112, 53.6%) and this was marginally higher in those aged 65 years and above (7/12, 58%) than those from middle (29/57, 51%) and low socioeconomic areas (20/38, 53%). A total of 52 (46.4%) of the 112 respondents reported commonly accessed sites, with health organizations and research sites (16/52, 31%), including Australian Heart/Lung Transplant Association, most common. One-third (16/52, 31%) of respondents stated that they did not access a particular website, but that they generally browsed the Internet for health information and education, with a further nine (17%) of 52 respondents accessing sites for medication and treatment information specifically. Eight (15%) of 52 responded that they accessed disease-specific Facebook support groups, and single individuals noted they accessed Donate Life, health rebate and concession sites, and an online mental health support program run by the academic medical center itself (1/52, 2%, respectively) (Table 3).

Concerns Over Accessing Information and Support Online

When asked if respondents had concerns over accessing and participating in online support programs, the overwhelming majority of respondents answered the question (111/123, 90.2%) and did not have concerns (87/111, 78.4% answered “no”). This did not differ across gender, age, or socioeconomic groups. Reasons for concern were given by a small number of respondents (15/111, 13.5%), with privacy and security most common (10/15). Other reasons for individual concern included accuracy of information (2/15), computer literacy and access (2/15), limited Australian-based sites (1/15), the opportunity for misinterpretation of information (1/15), and the lack of a support group for that individual’s particular condition (1/15) (Table 3).


Principal Findings

Web-based health information and support are available in the United States [28, 32-35]; however, internationally, the use is not as widespread [28,30-36]. In the Australian context, studies have explored Web-based health interventions, but there is limited information as to the patterns of technology use in cardiopulmonary patients [37]. The reported study sought to describe patterns of technology use in patients attending a cardiopulmonary clinic. The patients responding to this survey provide a sample of those individuals likely to have increasing health care utilization needs. It is important to take this initial step in understanding whether these consumers have technology capabilities and receptivity to these modalities [42-44].

Study results indicated that computer, mobile phone, and Internet use are a pervasive part of everyday life with individuals using their technological devices for a variety of reasons, including accessing and browsing health information websites. The majority of respondents additionally answered that access to support programs through a telecommunication platform would provide assistance with their health problems; this was most common in individuals aged 50-65 years. The most commonly accessed websites were disease-specific sites, organizations, and research sites, as well as sites that provided information on specific medications and treatments. In agreement with previous literature, peer support and sharing of experiences were also noted as benefits of access through an online platform, and was noted as providing support and information that they may not otherwise be able to access in their everyday life [29-31,46,47].

Patterns of technology use did differ between patients from different socioeconomic groups, as measured using advantage/disadvantage index based on area [45]. Although overall technology use was pervasive in all groups, patients who lived in higher socioeconomic areas used the Internet most regularly and those patients from middle socioeconomic areas were most likely to access social media compared with the other groups. Although still high users of technology, those from low socioeconomic areas had less access to computers and used computers and the Internet less frequently, a situation evident in international literature; technological access and literacy are a consideration for future technology-based health delivery interventions [48,49]. Interestingly, while those who lived in higher socioeconomic areas were most likely to be already accessing Web-based health information sites, when asked if they would benefit from delivery of health information and support through an online interface, those from higher socioeconomic areas were least likely to respond positively; this may reflect higher health literacy [27,50], better health access [2,45], and therefore less need for additional support, but this would need further investigation.

Respondents indicated clear issues with current health care delivery through face-to-face interaction, with several noting the long distance they had to travel to access care and the lack of information provision through traditional sources; Web-based health information delivery may go some way to alleviating the limitations of current health care provision. As similarly noted in previous literature, respondents viewed online health care delivery as providing convenient, timely, and easily accessible information, currently difficult to obtain through traditional face-to-face sources [29-31,51]. This is particularly important in the context of this cardiopulmonary clinic, which acts as a quaternary referral clinic attracting patients from a large geographical area across the state. Several studies have highlighted the relationship between patient satisfaction and Web-based health information seeking behavior [51-53]. Consumer-health provider interfaces need to be improved to provide timely and accessible health care interaction that reduces the geographical burden of current health care delivery [28-31,51-53].

While the majority of respondents stated that they did not have concerns over accessing information or support online, issues of privacy and security, the accuracy of information, and the potential for misinterpretation of information were raised by a smaller number of patients. Consumers’ ability to distinguish accurate, trustworthy, and personally applicable information, when faced with the sheer volume of health information sites available, is a commonly reported challenge in the literature [42-44]. Development and validation of websites is essential; health professionals have an opportunity to ensure that patients and their families have guidance to accurate and trustworthy Web-based health information sources [42-44].

Web-based health care delivery has particular potential to provide convenient and accessible access for individuals and their families living with chronic, complex, and progressive conditions [28-31]. Providing ongoing care through technology platforms may address the issues associated with short-term episodic programs, such as pulmonary and cardiac rehabilitation, in providing ongoing education, social support, and exercise maintenance to larger patient cohorts [16,17,21,22,28]. Self-management programs that are provided through a Web-based interface may leverage computer-based and mobile technology to facilitate continued care and support [28-31]. This may be of particular value to aging “baby boomers”, who have already incorporated these technologies into their daily lives [28-31]. Web-based health care delivery additionally has the potential to help those at end of life who need increasingly complex strategies to cope with dyspnea and fatigue, especially as they become homebound [28-31].

Implications for Practice

This study sought to describe patterns of technology use in patients attending a cardiopulmonary clinic. Technology use is a pervasive part of everyday life regardless of age or socioeconomic group with patients already heavily engaged in health-seeking behaviors through Web-based sources. There is a necessity to develop and validate websites, and an opportunity to ensure that patients and their families have guidance to accurate and credible health information sources. Web-based delivery of health information and support is of particular importance in patients with cardiopulmonary disease, who are most likely to have high symptom burden and health care utilization needs in the future. Current consumer-health provider interfaces need to be improved to accommodate the changing needs and preferences of an empowered generation of health consumers, and to provide timely and accessible health care interaction that addresses the geographical burden of current health care delivery. Telecommunication interfaces may alleviate some of the difficulties with current health care access and provide an increasingly important adjunct to traditional forms of health care delivery. We are at a turning point within the evolution of health care delivery and have the opportunity to shape how future interventions deliver health information and promote self-management. Future research must explore the feasibility of delivering health care through Web-based platforms across larger cohorts and explore the social and economic impact of this approach on health care delivery.

Limitations

This prevalence study was undertaken in a small cohort of patients from a single clinical site. While survey responses were completed in full in most cases, there is a possibility that patients who do not engage with technology may have self-excluded from participating. Further, large cohort, multi-site research would be required to describe overall population technology use. Additionally, this study only sought to describe the patterns of technology use and further research is required to understand the attitudes and specific barriers faced by cardiopulmonary pulmonary patients in regard to the delivery of health information and education through telecommunication interfaces. While this initial study does have its limitations, the results do provide important information regarding patients’ access to technological devices, their use of Web-based information and support for their health conditions, and the perceived potential benefits of health care delivery through Web-based platforms. This is particularly important in the context of patients attending a cardiopulmonary clinic, who are most likely to have high symptom burden and associated health care utilization needs in the future.

Conclusions

Chronic disease burden and the long-term self-management tasks that challenge patients with cardiopulmonary disease are a compelling argument for accessible and convenient avenues to obtaining ongoing treatment and peer support. Technology use was already a pervasive part of everyday life for study participants, and a central platform for health care interactions including common access of health information and education. Patterns of use and access differed marginally across age and socioeconomic groups, however, accessing Web-based health information was prevalent for all groups. Clear issues were raised over long distance travel and a lack of information provision through traditional health delivery sources. Web-based access to health support programs are perceived as providing convenient, timely, and easily accessible information—particularly important in the context of a quaternary referral clinic attracting patients from a large geographical area, and in cardiopulmonary patients most likely to have high health care utilization needs in the future. Telecommunication interfaces will be an increasingly important adjunct to traditional forms of health care delivery. These will need to be assessed for the validity of content and access to target populations.

Acknowledgments

We would like to acknowledge the patients and staff at St Vincent’s Hospital, Sydney, Australia for their participation and assistance in this study.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Internet access and use survey.

PDF File (Adobe PDF File), 6KB

  1. Beaglehole R, Bonita R, Alleyne G, Horton R, Li L, Lincoln P, Lancet NCD Action Group. UN high-level meeting on non-communicable diseases: addressing four questions. Lancet 2011 Jul 30;378(9789):449-455. [CrossRef] [Medline]
  2. Australia’s Health 2008, Cat. no. 99. Canberra: Australian Institute of Health and Welfare; 2008.   URL: http://www.aihw.gov.au/publication-detail/?id=6442468102 [accessed 2015-02-13] [WebCite Cache]
  3. Bui AL, Horwich TB, Fonarow GC. Epidemiology and risk profile of heart failure. Nat Rev Cardiol 2011 Jan;8(1):30-41 [FREE Full text] [CrossRef] [Medline]
  4. McMurray JJ, Petrie MC, Murdoch DR, Davie AP. Clinical epidemiology of heart failure: public and private health burden. Eur Heart J 1998 Dec;19 Suppl P:P9-16. [Medline]
  5. Mahmood SS, Wang TJ. The epidemiology of congestive heart failure: the Framingham Heart Study perspective. Glob Heart 2013 Mar 1;8(1):77-82 [FREE Full text] [CrossRef] [Medline]
  6. Mannino DM, Buist AS. Global burden of COPD: risk factors, prevalence, and future trends. Lancet 2007 Sep 1;370(9589):765-773. [CrossRef] [Medline]
  7. Fabbri L, Pauwels RA, Hurd SS, GOLD Scientific Committee. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD Executive Summary updated 2003. COPD 2004 Apr;1(1):105-41; discussion 103. [CrossRef] [Medline]
  8. Blinderman CD, Homel P, Billings JA, Tennstedt S, Portenoy RK. Symptom distress and quality of life in patients with advanced chronic obstructive pulmonary disease. J Pain Symptom Manage 2009 Jul;38(1):115-123. [CrossRef] [Medline]
  9. Currow DC, Smith J, Davidson PM, Newton PJ, Agar MR, Abernethy AP. Do the trajectories of dyspnea differ in prevalence and intensity by diagnosis at the end of life? A consecutive cohort study. J Pain Symptom Manage 2010 Apr;39(4):680-690. [CrossRef] [Medline]
  10. Edmonds P, Karlsen S, Khan S, Addington-Hall J. A comparison of the palliative care needs of patients dying from chronic respiratory diseases and lung cancer. Palliat Med 2001 Jul;15(4):287-295. [Medline]
  11. Elkington H, White P, Addington-Hall J, Higgs R, Edmonds P. The healthcare needs of chronic obstructive pulmonary disease patients in the last year of life. Palliat Med 2005 Sep;19(6):485-491. [Medline]
  12. Skilbeck J, Mott L, Page H, Smith D, Hjelmeland-Ahmedzai S, Clark D. Palliative care in chronic obstructive airways disease: a needs assessment. Palliat Med 1998 Jul;12(4):245-254. [Medline]
  13. Fletcher MJ, Upton J, Taylor-Fishwick J, Buist SA, Jenkins C, Hutton J, et al. COPD uncovered: an international survey on the impact of chronic obstructive pulmonary disease [COPD] on a working age population. BMC Public Health 2011;11:612 [FREE Full text] [CrossRef] [Medline]
  14. Corsonello A, Antonelli Incalzi R, Pistelli R, Pedone C, Bustacchini S, Lattanzio F. Comorbidities of chronic obstructive pulmonary disease. Curr Opin Pulm Med 2011 Dec;17 Suppl 1:S21-S28. [CrossRef] [Medline]
  15. Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA 2002 Nov 20;288(19):2469-2475. [Medline]
  16. Cecins N, Geelhoed E, Jenkins S. Reduction in hospitalisation following pulmonary rehabilitation in patients with COPD. Aust Health Rev 2008 Aug;32(3):415-422. [Medline]
  17. Nici L, Donner C, Wouters E, Zuwallack R, Ambrosino N, Bourbeau J, ATS/ERS Pulmonary Rehabilitation Writing Committee. American Thoracic Society/European Respiratory Society statement on pulmonary rehabilitation. Am J Respir Crit Care Med 2006 Jun 15;173(12):1390-1413. [CrossRef] [Medline]
  18. Lainscak M, Blue L, Clark AL, Dahlström U, Dickstein K, Ekman I, et al. Self-care management of heart failure: practical recommendations from the Patient Care Committee of the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail 2011 Feb;13(2):115-126. [CrossRef] [Medline]
  19. Clark AM, Davidson P, Currie K, Karimi M, Duncan AS, Thompson DR. Understanding and promoting effective self-care during heart failure. Curr Treat Options Cardiovasc Med 2010 Jan;12(1):1-9. [CrossRef] [Medline]
  20. Krum H, Jelinek MV, Stewart S, Sindone A, Atherton JJ, National Heart Foundation of Australia, Cardiac Society of Australia and New Zealand. 2011 update to National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand Guidelines for the prevention, detection and management of chronic heart failure in Australia, 2006. Med J Aust 2011 Apr 18;194(8):405-409. [Medline]
  21. RWJ Foundation. Patient education and consumer activation in chronic disease.: The Robert Wood Johnson Foundation; 2000.   URL: http://www.rwjf.org/publications/publicationsPdfs/patient_education.pdf [accessed 2015-01-05] [WebCite Cache]
  22. Connors GL, Hodgkin JE, Celli BR. Pulmonary rehabilitation: guidelines to success. Philadelphia: Lippincott Williams & Wilkins; 2000.
  23. Lorig KR, Holman H. Self-management education: history, definition, outcomes, and mechanisms. Ann Behav Med 2003 Aug;26(1):1-7. [Medline]
  24. Goodman RA, Parekh AK, Koh HK. Toward a more cogent approach to the challenges of multimorbidity. Ann Fam Med 2012;10(2):100-101 [FREE Full text] [CrossRef] [Medline]
  25. Erbas B, Ullah S, Hyndman RJ, Scollo M, Abramson M. Forecasts of COPD mortality in Australia: 2006-2025. BMC Med Res Methodol 2012;12:17 [FREE Full text] [CrossRef] [Medline]
  26. Kruis AL, Smidt NW, Assendelft W, Gussekloo J, Boland M, Rutten-van Mölken M, et al. Integrated disease management interventions for patients with chronic obstructive pulmonary disease. Cochrane Database Syst Rev 2013;10:CD009437. [CrossRef] [Medline]
  27. Taggart J, Williams A, Dennis S, Newall A, Shortus T, Zwar N, et al. A systematic review of interventions in primary care to improve health literacy for chronic disease behavioral risk factors. BMC Fam Pract 2012;13:49 [FREE Full text] [CrossRef] [Medline]
  28. Zickuhr K, Madden M. Pew Internet & American Life Project. Washington, DC: Pew Research Center’s Internet & American Life Project; 2012. Older adults and internet use   URL: http://www.pewinternet.org/2012/06/06/older-adults-and-internet-use/ [accessed 2015-01-05] [WebCite Cache]
  29. van Uden-Kraan CF, Drossaert CH, Taal E, Seydel ER, van de Laar MA. Participation in online patient support groups endorses patients' empowerment. Patient Educ Couns 2009 Jan;74(1):61-69. [CrossRef] [Medline]
  30. Wicks P, Massagli M, Frost J, Brownstein C, Okun S, Vaughan T, et al. Sharing health data for better outcomes on PatientsLikeMe. J Med Internet Res 2010;12(2):e19 [FREE Full text] [CrossRef] [Medline]
  31. Mo PK, Coulson NS. Developing a model for online support group use, empowering processes and psychosocial outcomes for individuals living with HIV/AIDS. Psychol Health 2012;27(4):445-459. [CrossRef] [Medline]
  32. Nguyen HQ, Carrieri-Kohlman V, Rankin SH, Slaughter R, Stulbarg MS. Is Internet-based support for dyspnea self-management in patients with chronic obstructive pulmonary disease possible? Results of a pilot study. Heart Lung 2005;34(1):51-62. [CrossRef] [Medline]
  33. Nguyen HQ, Donesky-Cuenco D, Wolpin S, Reinke LF, Benditt JO, Paul SM, et al. Randomized controlled trial of an internet-based versus face-to-face dyspnea self-management program for patients with chronic obstructive pulmonary disease: pilot study. J Med Internet Res 2008;10(2):e9 [FREE Full text] [CrossRef] [Medline]
  34. Nguyen HQ, Gill DP, Wolpin S, Steele BG, Benditt JO. Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD. Int J Chron Obstruct Pulmon Dis 2009;4:301-313 [FREE Full text] [Medline]
  35. Nguyen HQ, Donesky D, Reinke LF, Wolpin S, Chyall L, Benditt JO, et al. Internet-based dyspnea self-management support for patients with chronic obstructive pulmonary disease. J Pain Symptom Manage 2013 Jul;46(1):43-55. [CrossRef] [Medline]
  36. Murray E, Burns J, See TS, Lai R, Nazareth I. Interactive health communication applications for people with chronic disease. Cochrane Database Syst Rev 2005(4):CD004274. [CrossRef] [Medline]
  37. Biezen R, Jones KM, Piterman L. Managing chronic disease--patients' views and attitudes to using a broadband based service. Aust Fam Physician 2013 Aug;42(8):578-581 [FREE Full text] [Medline]
  38. Kwankam SY. What e-Health can offer. Bull World Health Organ 2004 Oct;82(10):800-802 [FREE Full text] [Medline]
  39. World Health Organization. E-Health. 2014.   URL: http://www.who.int/trade/glossary/story021/en/ [accessed 2015-01-05] [WebCite Cache]
  40. Kay M. mHealth: New horizons for health through mobile technologies.: World Health Organization; 2011.   URL: http://www.who.int/goe/publications/goe_mhealth_web.pdf [accessed 2015-01-05] [WebCite Cache]
  41. de Jong CC, Ros WJ, Schrijvers G. The effects on health behavior and health outcomes of Internet-based asynchronous communication between health providers and patients with a chronic condition: a systematic review. J Med Internet Res 2014 Jan;16(1):e19 [FREE Full text] [CrossRef] [Medline]
  42. Adams SA. Revisiting the online health information reliability debate in the wake of "web 2.0": an inter-disciplinary literature and website review. Int J Med Inform 2010 Jun;79(6):391-400. [CrossRef] [Medline]
  43. Fox S, Duggan M. Pew Research Center. Washington, DC: Pew Internet & American Life Project; 2013. Health online 2013   URL: http://www.pewinternet.org/files/old-media/Files/Reports/PIP_HealthOnline.pdf [accessed 2015-01-05] [WebCite Cache]
  44. Siliquini R, Ceruti M, Lovato E, Bert F, Bruno S, De Vito E, et al. Surfing the internet for health information: an Italian survey on use and population choices. BMC Med Inform Decis Mak 2011;11:21 [FREE Full text] [CrossRef] [Medline]
  45. ABS Catalogue no. 1351.0.55.038. Canberra: Australian Bureau of Statistics; 2012 Mar. Socio-economic indexes for areas: Robustness, diversity within larger areas and the new geography standard Commonwealth of Australia   URL: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1351.0.55.038Mar%202012?OpenDocument [accessed 2015-02-13] [WebCite Cache]
  46. van der Eijk M, Faber MJ, Aarts JW, Kremer JA, Munneke M, Bloem BR. Using online health communities to deliver patient-centered care to people with chronic conditions. J Med Internet Res 2013 Jun;15(6):e115 [FREE Full text] [CrossRef] [Medline]
  47. Bartlett YK, Coulson NS. An investigation into the empowerment effects of using online support groups and how this affects health professional/patient communication. Patient Educ Couns 2011 Apr;83(1):113-119. [CrossRef] [Medline]
  48. Wangberg SC, Andreassen HK, Prokosch HU, Santana SM, Sørensen T, Chronaki CE. Relations between Internet use, socio-economic status (SES), social support and subjective health. Health Promot Int 2008 Mar;23(1):70-77 [FREE Full text] [CrossRef] [Medline]
  49. Wei L. Number matters: the multimodality of Internet use as an indicator of the digital inequalities. Journal of Computer‐Mediated Communication 2012;17(3):303-318. [CrossRef]
  50. Dennis S, Williams A, Taggart J, Newall A, Denney-Wilson E, Zwar N, et al. Which providers can bridge the health literacy gap in lifestyle risk factor modification education: a systematic review and narrative synthesis. BMC Fam Pract 2012;13:44 [FREE Full text] [CrossRef] [Medline]
  51. Tustin N. The role of patient satisfaction in online health information seeking. J Health Commun 2010 Jan;15(1):3-17. [CrossRef] [Medline]
  52. Hou J, Shim M. The role of provider-patient communication and trust in online sources in Internet use for health-related activities. J Health Commun 2010;15 Suppl 3:186-199. [CrossRef] [Medline]
  53. Higgins O, Sixsmith J, Barry M, Domegan C. A literature review on health information seeking behaviour on the web: a health consumer and health professional perspective.: European Centre for Disease Prevention and Control; 2011.   URL: http:/​/www.​ecdc.europa.eu/​en/​publications/​Publications/​Literature%20review%20on%20health%20information-seeking%20behaviour%20on%20the%20web.​pdf [accessed 2015-01-05] [WebCite Cache]


CHF: congestive heart failure
COPD: chronic obstructive pulmonary disease


Edited by G Eysenbach; submitted 20.10.14; peer-reviewed by H Du, R McNamara, A Lau; comments to author 12.11.14; revised version received 30.11.14; accepted 20.12.14; published 06.03.15

Copyright

©Rebecca T Disler, Sally C Inglis, Phillip J Newton, David C Currow, Peter S Macdonald, Allan R Glanville, DorAnne Donesky, Virginia Carrieri-Kohlman, Patricia M Davidson. Originally published in the Interactive Journal of Medical Research (http://www.i-jmr.org/), 06.03.2015.

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