| Literature DB >> 32437881 |
Blake Sisk1, Joshua Alexander2, Chelsea Bodnar3, Alison Curfman4, Kelli Garber5, S David McSwain6, James M Perrin7.
Abstract
BACKGROUND: The American Academy of Pediatrics 2015 policy statement on telehealth proposed that telehealth could increase access to high-quality pediatric care and that pediatricians should work to reduce barriers to telehealth for their patients. However, little is known about pediatricians' experiences with and attitudes toward telehealth.Entities:
Keywords: pediatrician survey; telehealth
Mesh:
Year: 2020 PMID: 32437881 PMCID: PMC7207114 DOI: 10.1016/j.acap.2020.05.004
Source DB: PubMed Journal: Acad Pediatr ISSN: 1876-2859 Impact factor: 3.107
Respondent Characteristics (n = 744)
| % | |
|---|---|
| Age (mean = 48.6; SD = 10.7) | |
| 39 years or less | 25.1 |
| 40–49 years | 29.1 |
| 50–59 years | 27.2 |
| 60+ years | 18.5 |
| Gender | |
| Women | 64.1 |
| Men | 35.9 |
| Area | |
| Suburban | 41.0 |
| Urban, inner city | 20.9 |
| Urban, not inner city | 26.9 |
| Rural | 11.1 |
| Setting | |
| Solo or 2 physician practice | 12.2 |
| Group practice/health maintenance organization | 56.4 |
| Medical school/hospital/clinic | 31.4 |
| Region | |
| Northeast | 21.6 |
| Midwest | 22.0 |
| South | 35.3 |
| West | 20.9 |
| Subspecialist status | |
| Primary care | 73.9 |
| Subspecialist | 26.0 |
SD indicates standard deviation.
Percent Reporting Using Telehealth in Past 12 Months
| % | |
|---|---|
| A. Full sample | |
| Total | |
| Used telehealth | 12.9 |
| Referred patients for telehealth consult | 6.4 |
| Any telehealth (referred and/or used) | 15.2 |
| B. Any telehealth, by characteristic | |
| Age ( | |
| 39 years or less | 13.9 |
| 40–49 years | 18.9 |
| 50–59 years | 15.7 |
| 60+ years | 12.9 |
| Gender ( | |
| Women | 13.7 |
| Men | 18.5 |
| Area ( | |
| Suburban | 7.9 |
| Urban, inner city | 16.2 |
| Urban, not inner city | 21.9 |
| Rural | 24.4 |
| Setting ( | |
| Solo or 2 physician practice | 15.9 |
| Group practice/health maintenance organization | 12.1 |
| Medical school/hospital/clinic | 20.8 |
| Region ( | |
| Northeast | 8.2 |
| Midwest | 15.8 |
| South | 11.2 |
| West | 28.4 |
| Subspecialist status ( | |
| Primary care | 11.7 |
| Subspecialist | 25.7 |
P values refer to results from chi-squared tests assessing the statistical significance of differences in any telehealth use across groups.
Figure 1Perceived barriers to telehealth use.
Figure 2Any telehealth by number of perceived barriers.
Logistic Regression Results for Characteristics Associated With “Any Telehealth in Past 12 Months”
| Model 1 | Model 2 | |||||||
|---|---|---|---|---|---|---|---|---|
| AOR | CI Low | CI High | AOR | CI Low | CI High | |||
| Gender (ref = men) | ||||||||
| Women | 0.68 | 0.41 | 1.12 | .132 | 0.72 | 0.43 | 1.21 | .211 |
| Age (ref = 39 years or less) | ||||||||
| 40–49 years | 1.31 | 0.68 | 2.56 | .418 | 1.27 | 0.64 | 2.55 | .495 |
| 50–59 years | 1.45 | 0.74 | 2.92 | .285 | 1.35 | 0.67 | 2.79 | .406 |
| 60+ years | 1.03 | 0.47 | 2.27 | .938 | 0.91 | 0.40 | 2.04 | .811 |
| Region (ref = Northeast) | ||||||||
| Midwest | 1.38 | 0.63 | 3.14 | .425 | 1.02 | 0.45 | 2.46 | .924 |
| South | 1.03 | 0.48 | 2.27 | .946 | 0.86 | 0.39 | 1.97 | .710 |
| West | 3.57 | 1.73 | 7.79 | .001 | 3.23 | 1.50 | 7.35 | .004 |
| Setting (ref = solo or 2 physician practice) | ||||||||
| Group practice/health maintenance organization | 0.64 | 0.31 | 1.38 | .237 | 0.46 | 0.21 | 1.02 | .051 |
| Medical school/hospital/clinic | 0.74 | 0.33 | 1.71 | .474 | 0.45 | 0.19 | 1.08 | .069 |
| Area (ref = suburban) | ||||||||
| Urban, inner city | 1.69 | 0.80 | 3.54 | .166 | 1.96 | 0.89 | 4.29 | .092 |
| Urban, not inner city | 2.33 | 1.23 | 4.48 | .010 | 2.16 | 1.11 | 4.26 | .023 |
| Rural | 3.77 | 1.78 | 7.93 | <.001 | 3.76 | 1.72 | 8.22 | .0001 |
| Subspecialty status (ref = primary care) | ||||||||
| Subspecialist | 2.47 | 1.40 | 4.36 | .002 | 2.16 | 1.11 | 4.26 | .021 |
| Number of perceived barriers to incorporating telehealth (ref = none) | ||||||||
| 1–3 barriers | – | – | – | – | 0.73 | 0.39 | 1.36 | .32 |
| 4–6 barriers | – | – | – | – | 0.34 | 0.17 | 0.69 | .003 |
| 7–8 barriers | – | – | – | – | 0.13 | 0.04 | 0.36 | <.001 |
| 9+ barriers | – | – | – | – | 0.03 | 0.01 | 0.17 | .0001 |
CI indicates confidence interval; AOR, adjusted odds ratio.
Dependent variable is any telehealth use in past 12 months (1 = yes, 0 = no); n = 550.
P < .05.
P < .01.
P < .001.
Model controls include only pediatrician demographics/characteristics.
Model controls include pediatrician demographics/characteristics and number of perceived barriers to incorporating telehealth.
Figure 3Conditions under which pediatricians would consider using telehealth.