| Literature DB >> 34978532 |
Abstract
BACKGROUND: The COVID-19 pandemic and the lockdowns for controlling the spread of infection have led to a surge in telehealth adoption by many health care organizations. It is unclear how this pandemic has impacted health professionals' view about telehealth. The analysis of textual data, such as comments posted on a discussion forum, can uncover information that may not be captured by a structured survey.Entities:
Keywords: COVID-19; discussion; health care worker; opinion; pandemic; physical examination; sentiment score; social media; structural topic modeling; telehealth; telemedicine
Mesh:
Year: 2022 PMID: 34978532 PMCID: PMC8887560 DOI: 10.2196/29519
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 7.076
Figure 1Diagnostic values by number of topics.
Characteristics of health care workers who commented on telehealth.
| Characteristics | Individuals’ frequency, n (%) | |
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| Northern America | 561 (79.6) |
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| Asia | 37 (5.2) |
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| Europe | 23 (3.3) |
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| Africa | 19 (2.7) |
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| Central or South America | 12 (1.7) |
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| Australia or New Zealand | 10 (1.4) |
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| Unknown | 43 (6.1) |
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| Physicians | 468 (66.4) |
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| Nurses | 89 (12.6) |
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| Health administration professionals | 42 (6.0) |
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| Other health occupation | 105 (14.9) |
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| Unknown | 1 (0.1) |
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| Family medicine/general practice | 106 (22.7) |
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| Clinical medicine specialties | 254 (54.3) |
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| Surgery and surgical specialties | 45 (9.6) |
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| Mental health | 45 (9.6) |
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| Other specialty | 5 (1.1) |
Fixed-effect estimates of independent variables on sentiment scores of comments about telehealth services.
| Independent variable | Coefficient estimate (95% CI) | |
| Residence: non-US vs US | 0.06 (0.02-0.10) | .003a |
| Occupation: nurse vs physician | 0.03 (–0.02-0.08) | .23 |
| Occupation: health administration vs physician | 0.03 (–0.04-0.10) | .38 |
| Occupation: other vs physician | 0 (–0.05-0.04) | .85 |
| Year 2013 vs 2020 | –0.06 (–0.18-0.06) | .31 |
| Year 2014 vs 2020 | 0.03 (–0.01-0.07) | .21 |
| Year 2015 vs 2020 | –0.01 (–0.06-0.04) | .62 |
| Year 2016 vs 2020 | 0.01 (–0.03-0.06) | .58 |
| Year 2017 vs 2020 | 0.01 (–0.06-0.08) | .81 |
| Year 2018 vs 2020 | 0.04 (–0.13-0.21) | .63 |
| Year 2019 vs 2020 | –0.03 (–0.09-0.02) | .28 |
aP<.01.
Figure 2Average sentiment score per sentence of comments about telehealth by occupation and by residence.
Identified topics from comments (N=914) about telehealth made by health care workers.
| Topic | Percentage of Topic in Corpus | Top 10 highest-probability | Quotes |
| Topic 1: virtual visits | 10.2 | visit, patient, virtual, office, time, doctor, video, work |
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| Topic 2: benefits of telehealth | 10.0 | care, patient, technology, good, provider, great, telemedicine, service |
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| Topic 3: criticisms of telehealth | 9.4 | telemedicine, patient, exam, physical, care, antibiotic, medicine, physician |
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| Topic 4: insurance payment for telehealth services | 8.8 | patient, phone, care, time, pay, make, insurance, practice |
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| Topic 5: telehealth over the phone | 8.0 | telehealth, physician, health, work, patient, call, medicine, clinic |
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| Topic 6: legal dispositions for telehealth | 7.6 | state, medicine, license, practice, board, health care, patient, telemedicine |
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| Topic 7: practice of medicine in the era of telehealth | 7.4 | medicine, patient, doctor, clinical, care, practice, physician, service |
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| Topic 8: moving consultations to the patients’ home | 7.4 | people, patient, health care, work, year, home, telemedicine, health |
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| Topic 9: impact on patient-physician relationship | 7.1 | physician, patient, primary care, relationship, medicine, system, health care, doctor |
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| Topic 10: physical examination in the era of telehealth | 6.4 | patient, exam, care, hand, medicine, system, test, doctor |
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| Topic 11: impact of telehealth on care quality | 6.2 | doctor, patient, time, medicine, bad, family, day, registered nurse (RN) |
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| Topic 12: issues related to telehealth patient appointment and follow-up | 5.9 | patient, phone, call, appointment, follow, issue, physician, telemedicine |
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| Topic 13: advantages of telehealth for remote and rural areas | 5.6 | telemedicine, patient, rural, clinic, medicine, hospital, care, remote |
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Coefficient estimates of independent variables across the 13 identified topics.
| Independent variables | Topic 1: virtual visits, β; | Topic 2: benefits of telehealth, β; | Topic 3: criticisms of telehealth, β; | Topic 4: payment of services, β; | Topic 5: telehealth over the phone, β; | Topic 6: legal dispositions for telehealth, β; | Topic 7: practice of medicine, β; | Topic 8: Moving consultations into patients’ home, β; | Topic 9: impact on patient-physician relationship, β; | Topic 10: impact on physical examination, β; | Topic 11: impact on quality of care, β; | Topic 12: patient appointment and follow-up, β; | Topic 13: telehealth for remote and rural areas, β; |
| During vs before pandemic | 0.05; | –0.03; | 0.10; | 0.02; | 0.04; | –0.01; | –0.06; | 0.07; | –0.02; | –0.04; | –0.04; | 0.01; | 0.08; |
| Sentiment score | 0.04; | 0.35; | –0.14; | 0; | –0.03; | 0; | 0.05; | 0.04; | –0.08; | –0.06; | –0.12; | –0.03; | –0.02; |
| Pandemicb sentiment score | 0.06; | –0.19; | 0.05; | 0.05; | –0.05; | 0; | 0; | 0.02; | –0.02; | –0.03; | 0.12; | –0.01; | 0; |
| Residence: non-US vs US | –0.02; | 0.01; | –0.03; | –0.06; | –0.01; | –0.06; | 0.15; | 0.02; | –0.01; | –0.04; | –0.01; | 0.02; | 0.01; |
| Nurse vs physician | –0.02; | 0.03; | –0.06; | –0.04; | 0.03; | –0.03; | –0.04; | 0.04; | –0.01; | 0.04; | 0; | 0.05; | 0; |
| Health administrator vs physician | –0.01; | 0.03; | –0.06; | 0; | –0.02; | –0.03; | 0.02; | 0.04; | –0.02; | –0.03; | –0.03; | 0.08; | 0.02; |
| Other vs physician | 0.03; | 0.04; | –0.01; | 0; | 0; | –0.02; | 0.06; | 0.01; | –0.04; | –0.04; | 0; | 0; | –0.03; |
aP<.01.
bP<.05.