| Literature DB >> 35720449 |
Katherine A Meese1,2, Allyson G Hall3,4, Sue S Feldman5, Alejandra Colón-López6, David A Rogers7,8, Jasvinder A Singh9,10,11.
Abstract
Background: Many health systems transitioned rapidly to using inpatient and outpatient telemedicine during the COVID-19 pandemic. Prior research has examined clinician satisfaction and experiences with telemedicine in a siloed approach for specific provider types. Less is known about how experiences with the rapid transition to telemedicine affected the entire clinical team, and how this contributed to their overall distress.Entities:
Keywords: COVID-19; advanced practice provider; inpatient; nurse; outpatient; physician; team; telemedicine
Year: 2022 PMID: 35720449 PMCID: PMC8989090 DOI: 10.1089/tmr.2021.0034
Source DB: PubMed Journal: Telemed Rep ISSN: 2692-4366
Sample Characteristics (N = 201)
| APP ( | Nurse ( | Physician ( | Total, %) | |
|---|---|---|---|---|
| Age, M (SD) | 41.74 (12.53) | 42.29 (13.12) | 48.43 (15.18) | 44.12 (13.85) |
| Gender | ||||
| Male | 9.43 | 11.76 | 44.26 | 20.40 |
| Female | 79.25 | 79.41 | 47.54 | 69.65 |
| Self-describe | 0.00 | 2.94 | 0.00 | 0.50 |
| Prefer not to answer | 11.32 | 5.88 | 8.20 | 9.45 |
| Race | ||||
| Non-Hispanic White | 73.58 | 76.47 | 78.69 | 75.62 |
| Non-Hispanic Black or African American | 7.55 | 8.82 | 3.28 | 6.47 |
| Hispanic or Latinx | 0.00 | 0.00 | 4.92 | 1.49 |
| Native American or Alaskan Native | 0.00 | 2.94 | 0.00 | 0.50 |
| Asian | 0.94 | 0.00 | 4.92 | 1.99 |
| Two or more races | 0.94 | 0.00 | 0.00 | 0.5 |
| Self-identify | 1.89 | 0.00 | 0.00 | 1.00 |
| Prefer not to answer | 15.09 | 11.76 | 8.20 | 12.44 |
%, percent within the job role group and total sample; APP, advanced practice provider; M, mean; SD, standard deviation.
Descriptive Statics of Well-Being Index Score Predictors (N = 201)
| APP | Nurse | Physician | Total |
| |
|---|---|---|---|---|---|
| % Telemedicine as a clinical stressor[ | 50.94 | 26.47 | 37.70 | 42.79 | 7.22[ |
| Average count of positive changes brought by telemedicine[ | 3.85 | 3.12 | 3.44 | 3.60 | 1.81 |
| Average count of telemedicine frustrations[ | 3.87 | 4.47 | 4.85 | 4.27 | 2.85 |
p < 0.05.
Significance of ANOVA or Chi-squared tests determining the association between telemedicine as a clinical stressor, average count of positive changes brought by telemedicine, or telemedicine satisfaction.
Chi-squared test.
ANOVA.
ANOVA, analysis of variance.
Ordinal Least-Square Regression Predicting Well-Being Index Score (N = 201)
| β (95% CI) | |
|---|---|
| Telemedicine as a clinical stressor | 0.101 (−0.563 to 0.766) |
| Total count of telemedicine frustrations | 0.123 (−0.001 to 0.247) |
| Total count of telemedicine positives | −0.021 (−0.165 to 0.122) |
| Telemedicine use (Ref. = Outpatient) | −0.077 (−1.161 to 1.008) |
| Both | |
| Inpatient | −0.030 (−1.070 to 1.010) |
| Work location (Ref. = Administration or Other) | |
| Ambulatory | 0.118 (−0.837 to 1.073) |
| ICU | 1.703 (0.043 to 3.350)[ |
| Non-ICU | −0.056 (−1.216 to 1.104) |
| Operating room or procedural | 0.267 (−1.044 to 1.578) |
| Job category (Ref. = Physician) | |
| APP | 1.240 (0.542 to 1.939)[ |
| Nurse | 2.012 (1.185 to 3.058)[ |
p < 0.05, **p < 0.01, ***p < 0.001.
CI, confidence interval.
Likert Score, Percentage, and Analysis-of-Variance Test Describing Advanced Practice Providers’, Nurses’, and Physicians' Inpatient and Outpatient Telemedicine Use
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| Number of observations | 29 | 21 | 17 | ||||
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| I am satisfied with my experience using inpatient telemedicine | 3.61 | 61 | 2.72 | 22 | 2.73 | 27 | 6.06[ |
| I would like to continue to have the option to use inpatient telemedicine in the future | 3.96 | 79 | 3.29 | 47 | 3.87 | 67 | 2.73 |
| I felt safer having the option of using telemedicine to treat patients during COVID-19 | 3.92 | 75 | 2.88 | 29 | 4.07 | 64 | 11.35[ |
| I am comfortable with the quality of care patients are receiving when I am using inpatient telemedicine | 3.54 | 63 | 2.65 | 35 | 2.93 | 29 | 3.55[ |
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| Number of observations | 99 | 33 | 60 | ||||
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| I am satisfied with my experience using outpatient telemedicine | 3.80 | 70 | 3.04 | 31 | 3.53 | 60 | 5.89[ |
| I am comfortable with the quality of care NEW patients are receiving when I am using telemedicine | 3.37 | 48 | 2.89 | 30 | 3.11 | 41 | 2.15 |
| I am comfortable with the quality of care existing patients are receiving when I am using telemedicine | 3.97 | 78 | 3.12 | 38 | 3.85 | 72 | 8.85[ |
| I would like to continue conducting outpatient telemedicine visits in the future | 3.91 | 70 | 3.23 | 46 | 3.96 | 70 | 4.02[ |
Average Likert score (1–5).
% Strongly agree or agree.
p < 0.05.
Percentage of Advanced Practice Providers’, Nurses’, and Physicians' Perceived Positive Changes Due to Telemedicine Use
| APP | Nurse | Physician | Total | |
|---|---|---|---|---|
| Number of observations | 118 | 49 | 70 | 237 |
| % Reducing exposure time to COVID-positive or presumed positive patients[ | 69 | 53 | 63 | 64 |
| % Reducing PPE use[ | 59 | 49 | 54 | 56 |
| % Greater flexibility in how I conduct my work[ | 55 | 37 | 51 | 50 |
| % Patient satisfaction with telemedicine[ | 34 | 12 | 41 | 32 |
| % Easier to coordinate with family members or caregivers[ | 29 | 29 | 26 | 28 |
| % More efficient[ | 31 | 10 | 24 | 24 |
| % Scheduling[ | 20 | 12 | 7 | 15 |
| % Patient adaptability to technology[ | 16 | 6 | 13 | 13 |
| % Visits are technologically easy to conduct[ | 15 | 4 | 11 | 12 |
| % Integration across apps and programs[ | 8 | 4 | 1 | 5 |
| % Using tablets[ | 1 | 4 | 3 | 2 |
| Average count of telemedicine positive changes | 3.5 | 2.3 | 3.1 | 3.1 |
Percent of health care workers who marked yes.
PPE, personal protective equipment.
Percentage of Advanced Practice Providers’, Nurses’, and Physicians' Perceived Telemedicine Frustrations
| APP | Nurse | Physician | Total | |
|---|---|---|---|---|
| Number of observations | 118 | 49 | 70 | 237 |
| % Patient connectivity issues (poor Internet or network connections)[ | 58 | 45 | 63 | 57 |
| % Patient inability to use the technology as intended[ | 50 | 47 | 61 | 53 |
| % Patient frustration with Telemedicine[ | 32 | 45 | 33 | 35 |
| % Continued difficulty with telemedicine apps and processes[ | 28 | 37 | 39 | 33 |
| % Difficulty coordinating among multiple care team members[ | 19 | 35 | 33 | 26 |
| % Difficulty in diagnosing via telemedicine (difficult to see, feel, check vitals)[ | 24 | 20 | 37 | 27 |
| % Pre-scheduling activities[ | 27 | 24 | 27 | 27 |
| % Reduced personal/emotional connection with patients[ | 26 | 29 | 27 | 27 |
| % Scheduling[ | 27 | 18 | 30 | 26 |
| % Difficulty learning new apps and processes for telemedicine at the beginning[ | 19 | 27 | 20 | 21 |
| % Personal connectivity issues (poor Internet or network connections)[ | 17 | 27 | 17 | 19 |
| % Difficulty accessing a secure connection or logging in remotely[ | 8 | 12 | 6 | 8 |
| Problems with integration across apps[ | 4 | 6 | 11 | 7 |
| Average count of telemedicine frustrations | 3.5 | 3.6 | 4.4 | 3.8 |
Percent of health care workers who marked yes.