| Literature DB >> 34930545 |
Alex H Gifford1, Thida Ong2, Christopher Dowd3, Aricca D Van Citters4, Peter Scalia4, Kathryn A Sabadosa3, Gregory S Sawicki5.
Abstract
BACKGROUND: Cystic fibrosis (CF) care programs in the United States rapidly adopted telehealth during the COVID-19 pandemic. Understanding factors that promote or impede telehealth will inform planning for future telehealth-enabled care models.Entities:
Keywords: COVID-19; Cystic fibrosis; Pandemic; Telehealth
Mesh:
Year: 2021 PMID: 34930545 PMCID: PMC8683125 DOI: 10.1016/j.jcf.2021.08.034
Source DB: PubMed Journal: J Cyst Fibros ISSN: 1569-1993 Impact factor: 5.482
Types of visits held by CF programs that responded to the CFF SoC Surveys and reported that they provided telehealth services. Data displayed as median and (interquartile range). a Program type vs. type of visit (SoC1); b Program type vs. type of visit (SoC2); c SoC1 total vs. SoC2 total.
| Total | Adult | Pediatric | Affiliate | P-value | |||||
|---|---|---|---|---|---|---|---|---|---|
| Survey Iteration (Number of Programs) | 1(n = 278) | 2(n = 271) | 1(n = 117) | 2(n = 113) | 1(n = 123) | 2(n = 122) | 1(n = 38) | 2(n = 36) | |
| In-Person Only (%) | 57 (25-86) | 80 (65-95) | 48 (15-75) | 75 (59-90) | 75 (40-90) | 90 (70-98) | 65 (33-91) | 88 (64-100) | <0.001a |
| Telephone Only | 0 (0-10) | 0 (0-1) | 5 (0-10) | 0 (0-5) | 0 (0-5) | 0 (0-0) | 0 (0-16) | 0 (0-2) | <0.001a |
| Audio + Video | 30 (10-60) | 15 (5-30) | 45 (20-74) | 20 (10-38) | 20 (9-50) | 10 (2-25) | 20 (0-49) | 10 (0-20) | <0.001a |
Numbers of care programs and percentages of total program respondents that ranked a specific barrier in their top-three barriers to telehealth access by PwCF and their families. a Lack of internet access vs. all other barriers; b Pediatric and affiliate vs. adult; c Adult vs. pediatric and affiliate.
| Total | Adult | Pediatric | Affiliate | P-value | |
|---|---|---|---|---|---|
| Program Type (number) | (n = 283) | (n = 117) | (n = 127) | (n = 39) | |
| Lack of internet access | 246 (86.9) | 101 (86.3) | 114 (89.8) | 31 (79.5) | <0.001a |
| Financial barriers | 126 (44.5) | 56 (47.9) | 57 (44.9) | 13 (33.3) | NS |
| Health literacy | 125 (44.2) | 44 (37.6) | 60 (47.2) | 21 (53.8) | NS |
| Privacy concerns | 120 (42.4) | 55 (47.0) | 47 (37.0) | 18 (46.2) | NS |
| Language barriers | 73 (25.8) | 15 (12.8) | 43 (33.9) | 15 (38.5) | <0.001b |
| Job loss/insecurity | 69 (24.4) | 33 (28.2) | 27 (21.3) | 9 (23.1) | 0.015c |
| Loss of insurance | 66 (23.3) | 34 (29.1) | 24 (18.9) | 8 (20.5) | 0.003c |
| Housing insecurity | 24 (8.5) | 13 (11.1) | 9 (7.1) | 2 (5.1) | NS |
Themes identified in responses to the open-ended SoC survey question: “What changes would need to be made to telehealth for your program to give it a higher rating?”
| Total | Adult | Pediatric | Affiliate | |
|---|---|---|---|---|
| Number of Programs | n = 281 | n = 115 | n = 127 | n = 39 |
| Remote monitoring/physical exam | 137 (49%) | 59 (51%) | 61 (48%) | 17 (44%) |
| Technology or platform limitations | 72 (26%) | 30 (26%) | 34 (27%) | 8 (21%) |
| Participation of multidisciplinary team in visit | 49 (17%) | 18 (16%) | 25 (20%) | 6 (15%) |
| Internet access (speed/availability) | 47 (16%) | 19 (17%) | 23 (18%) | 5 (13%) |
| Reimbursement | 40 (14%) | 15 (13%) | 23 (17%) | 2 (5%) |
| Model of care (telehealth, in-person, visit frequency | 37 (13%) | 17 (15%) | 15 (12%) | 5 (13%) |
| Logistics of telehealth (scheduling) | 17 (6%) | 7 (6%) | 10 (8%) | 0 |