| Literature DB >> 33156806 |
Jennifer Mj Isautier1, Tessa Copp1, Julie Ayre1, Erin Cvejic1, Gideon Meyerowitz-Katz2,3, Carys Batcup1, Carissa Bonner1, Rachael Dodd1, Brooke Nickel1, Kristen Pickles1, Samuel Cornell1, Thomas Dakin1, Kirsten J McCaffery1.
Abstract
BACKGROUND: In response to the COVID-19 pandemic, telehealth has rapidly been adopted to deliver health care services around the world. To date, studies have not compared people's experiences with telehealth services during the pandemic in Australia to their experiences with traditional in-person visits.Entities:
Keywords: Australia; COVID-19; cross-sectional; experience; patient experience; satisfaction; survey; telehealth; telemedicine; usability
Mesh:
Year: 2020 PMID: 33156806 PMCID: PMC7732356 DOI: 10.2196/24531
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Descriptive characteristics of our sample sorted by participants’ use of telehealth services during the COVID-19 lockdown period.
| Variable | Accessed telehealth services (n=596) | Did not access telehealth services (n=773) | Overall (N=1369) | |
| Age in years, mean (SD) | 46.2 (16.1) | 43.6 (17.0) | 44.7 (16.7) | |
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| 18-25 | 76 (12.8) | 156 (20.2) | 232 (16.9) |
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| 26-40 | 166 (27.9) | 206 (26.6) | 372 (27.2) |
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| 41-55 | 152 (25.5) | 192 (24.8) | 344 (25.1) |
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| 56-90 | 202 (33.9) | 219 (28.3) | 421 (30.8) |
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| Male | 146 (24.5) | 287 (37.1) | 433 (31.6) |
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| Female | 433 (72.7) | 478 (61.8) | 911 (66.5) |
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| Other/prefer not to say | 17 (2.9) | 8 (1) | 25 (1.8) |
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| High school or less | 68 (11.4) | 130 (16.8) | 198 (14.5) |
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| Certificate I-IV | 67 (11.2) | 73 (9.4) | 140 (10.2) |
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| University education | 461 (77.3) | 570 (73.7) | 1031 (75.3) |
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| 0 | 239 (40.1) | 436 (56.4) | 675 (49.3) |
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| 1 | 188 (31.5) | 220 (28.5) | 408 (29.8) |
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| ≥2 | 169 (28.4) | 117 (15.1) | 286 (20.9) |
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| Depression | 278 (46.6) | 193 (25.0) | 471 (34.4) |
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| Anxiety | 302 (50.7) | 232 (30) | 534 (39) |
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| Poor | 37 (6.2) | 9 (1.2) | 46 (3.4) |
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| Fair | 111 (18.6) | 76 (9.8) | 187 (13.7) |
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| Good | 226 (37.9) | 237 (30.7) | 463 (33.8) |
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| Very Good | 172 (28.9) | 321 (41.5) | 493 (36) |
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| Excellent | 50 (8.4) | 130 (16.8) | 180 (13.1) |
| Socioeconomic status, mean IRSADb quintile (SD) | 3.7 (1.4) | 3.7 (1.4) | 3.7 (1.4) | |
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| Major cities | 438 (73.5) | 589 (76.2) | 1027 (75) |
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| Other | 158 (26.5) | 184 (23.8) | 342 (25) |
| Adequate health literacyc, n (%) | 505 (90.3) | 665 (91.7) | 1170 (91.1) | |
| eHealth literacyd, mean (SD) | 4.2 (0.7) | 4.1 (0.7) | 4.2 (0.7) | |
| Patient activatione, mean (SD) | 74.7 (13.2) | 75.0 (13.4) | 74.9 (13.3) | |
| Cancelled/postponed an appointmentf, n (%) | 147 (24.7) | 125 (16.2) | 272 (19.9) | |
| Chose not to see a health professionalg, n (%) | 115 (19.3) | 104 (13.5) | 219 (16) | |
| Could not access telehealth servicesh, n (%) | 12 (2) | 7 (0.9) | 19 (1.4) | |
aChronic health conditions included respiratory disease, asthma, chronic obstructive pulmonary disease, hypertension, cancer, heart disease, stroke, and diabetes.
bIRSAD: Index of Relative Socio-Economic Advantage and Disadvantage. In the IRSAD quintile [13], a score of 1 represents most disadvantaged and a score of 5 represents most advantaged.
cHealth literacy was assessed using the Newest Vital Sign [10]. Data were missing for 85 (6.2%) participants percent due to technical errors with the Qualtrics online platform.
deHealth [11] literacy was measured on a 5-point Likert scale. A higher score reflects a higher level of eHealth literacy.
eResults are based on the Consumer Health Activation Index [12]. A score of 0-79 indicates low activation, 80-94 indicates moderate activation, and 95-100 indicates high activation.
fRespondents who cancelled/postponed an appointment in the last 4 weeks because of COVID-19.
gRespondents who felt the need to see a health professional in the last 4 weeks, but chose not to.
hRespondents who needed access to a telehealth service in the last 4 weeks, but could not.
Characteristics of telehealth users’ experience (n=596).
| Variable | Summary value, n (%) | |
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| 1 | 270 (45.3) |
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| 2 | 157 (26.3) |
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| ≥3 | 169 (28.4) |
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| Telephone | 427 (71.6) |
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| Videoconference | 84 (14.1) |
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| Both | 85 (14.3) |
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| Better | 49 (8.2) |
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| Just as good | 320 (53.7) |
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| Worse | 205 (34.4) |
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| Unsure | 22 (3.7) |
Multivariablea analysis of factors associated with a poorerb telehealth experience than an in-person appointment experience (n=574). Adjusted relative risks of <1 indicate a reduced risk of reporting a poorer telehealth experience relative to the reference group.
| Variable | Adjusted relative risk (95% CI) | ||
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| .27 | ||
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| 18-25 | 0.98 (0.66-1.47) | .94 |
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| 26-40 | 1.09 (0.80-1.49) | .57 |
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| 56-90 | 1.32 (0.97-1.80) | .08 |
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| .01 | ||
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| Female | 0.73 (0.58-0.92) | .007 |
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| Other/prefer not to say | 0.52 (0.24-1.14) | .11 |
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| .96 | ||
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| Certificate I-IV | 1.06 (0.67-1.67) | .80 |
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| University education | 1.01 (0.69-1.48) | .96 |
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| .26 | ||
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| 1 | 0.88 (0.68-1.15) | .35 |
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| ≥2 | 0.78 (0.58-1.05) | .11 |
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| .054 | ||
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| Either depression or anxiety | 1.27 (0.92-1.75) | .14 |
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| Both depression and anxiety | 1.42 (1.07-1.89) | .016 |
| Socioeconomic status (per IRSADh quintile) | 1.06 (0.97-1.16) | .20 | |
| eHealth literacy (per unit) | 1.02 (0.84-1.23) | .84 | |
| Patient activation (per 10-unit increase) | 0.91 (0.82-0.99) | .036 | |
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| .23 | ||
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| Videoconference | 1.28 (0.96-1.70) | .09 |
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| Both telephone and videoconference | 1.09 (0.79-1.51) | .60 |
aThe analysis also controlled for the number of telehealth visits since lockdown.
bA poorer outcome was defined as respondents rating their telehealth experience as worse (compared to “just as good as” or “better than”) than their traditional in-person medical visit experience. Individuals who responded with “unsure” (22/596, 3.7%) were excluded from the analysis.
cRespondents aged 41-55 years were used as a reference.
dMale respondents were used as a reference.
eRespondents who completed a high school education or less were used as a reference.
fRespondents who did not have a chronic health condition were used as a reference.
gRespondents who did not have a history of mental health conditions were used as a reference.
hIRSAD: Index of Relative Socio-Economic Advantage and Disadvantage.
iRespondents who had telehealth visits via telephone were used as a reference.
Reasons provided by 221 respondents for telehealth visits being worse than traditional in-person medical visits, along with the frequency of overarching themes and subthemes with example quotesa.
| Code description | Example | Value, n (%) | |||
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| Lacks visual cues, eye contact, body language, and visual feedback; face-to-face visits are preferred | “The subtle facial expressions eye contact and body language are not the same” | 54 (24.4) | ||
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| Less personal, less natural/comfortable, more awkward | “Difficult to establish rapport” | 46 (20.8) | ||
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| Less effective; communication is not as good, less helpful, and harder/more difficult | “Communication on the phone is less effective” | 45 (20.4) | ||
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| Face-to-face interaction is needed for mental health appointments | “I feel a big part of effective mental health care involves face-to-face conversation” | 19 (8.6) | ||
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| More anxiety provoking for some | “Phone call and videos make me extremely anxious” | 5 (2.3) | ||
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| Less privacy | “Lack of privacy” | 3 (1.4) | ||
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| Physical exam is not possible | “Could not have a physical exam done” | 60 (27.1) | ||
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| Tests could not be performed | “Blood pressure not taken” | 17 (7.7) | ||
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| Technology issues, including poor connection, bad reception, poor audio quality, and Zoom calls dropping out | “Due to audio quality I was not able to get names of chemotherapy drugs correctly - so when I tried to look up info later I couldn’t until I was able to get info from Breast care nurse so this added to days of anxiety due to lack of info over weekend and when that staff member on leave.” | 20 (9) | ||
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| Poor quality connection led to poor quality conversation | “Harder to communicate due to tech difficulties, lag issues” | 6 (2.7) | ||
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| Harder to obtain prescriptions | “I had to wait for scripts to be emailed to the pharmacy, then one was missing, which I could have seen at the time had I received them in person.” | 10 (4.5) | ||
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| Increased wait time/delayed access | “If you need a script or referral, you have to make a separate trip to go get the paper” | 7 (3.2) | ||
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| Unable to access pathology results | “Getting blood tests has become more difficult.” | 2 (0.9) | ||
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| Not as comprehensive or thorough | “Not as comprehensive and thorough” | 25 (11.3) | ||
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| Time pressure | “Felt rushed” | 18 (8.1) | ||
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| Lack of confidence in assessment/ diagnosis | “Less trust that the diagnosis is accurate” | 11 (5) | ||
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| Face-to-face visit required due to complex issues | “I had to go in for a face-face consult because the medical issues could not be diagnosed” | 15 (6.8) | ||
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| Delays due to complex issues | “More complex issues have been delayed until we can do face-to-face” | 5 (2.3) | ||
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| Added burden of having 2 consults | “In both instances after having the Telehealth calls, I had to go in for a face to face consults because the issues could not be diagnosed over the phone” | 4 (1.8) | ||
aFull text could have more than 1 theme applied.