| Literature DB >> 30263896 |
Scott Koenig1, Vidushan Nadarajah2,1, Michael P Smuda1, Sean Meredith1, Jonathan D Packer1, R Frank Henn1.
Abstract
BACKGROUND: Current research is sparse regarding how patients with orthopaedic injuries perceive and use internet-based information resources. HYPOTHESIS: The majority of patients use the internet to research their orthopaedic condition and are receptive to guidance from their provider. STUDYEntities:
Keywords: internet use; outpatient; sports medicine
Year: 2018 PMID: 30263896 PMCID: PMC6149032 DOI: 10.1177/2325967118796469
Source DB: PubMed Journal: Orthop J Sports Med ISSN: 2325-9671
Demographic Details of Patients Who Use Internet-Based Information Systems Versus Nonusers
| Demographic Factor | Users | Nonusers |
|
|---|---|---|---|
| Patients | 99 (54) | 82 (44) | |
| Age, y, mean ± SD | 38.4 ± 14.3 | 36.9 ± 16.1 | .53 |
| Sex | .01 | ||
| Female | 52 (53) | 26 (32) | |
| Male | 47 (47) | 56 (68) | |
| Race/ethnicity | .03 | ||
| White | 59 (60) | 43 (52) | |
| Black | 22 (22) | 22 (27) | |
| Asian | 7 (7) | 3 (4) | |
| Hispanic | 3 (3) | 9 (11) | |
| Other | 2 (2) | 2 (2) | |
| Not reported | 6 (6) | 3 (4) | |
| Highest level of education | .48 | ||
| Grade 1-8 | 4 (4) | 7 (9) | |
| Some high school | 2 (2) | 4 (5) | |
| High school graduate or GED | 13 (13) | 21 (26) | |
| Some college, no degree | 9 (9) | 8 (10) | |
| Associate’s degree | 3 (3) | 2 (2) | |
| Bachelor’s degree | 35 (35) | 27 (33) | |
| Graduate degree | 32 (32) | 12 (15) | |
| Not reported | 1 (1) | 1 (1) | |
| Annual household income | .21 | ||
| Less than $70,000 | 54 (55) | 37 (45) | |
| More than $70,000 | 32 (32) | 34 (42) | |
| Not reported | 13 (13) | 11 (13) | |
| Health insurance | .36 | ||
| State insurance | 44 (44) | 36 (44) | |
| Private insurance | 52 (53) | 44 (54) | |
| No insurance | 3 (3) | 2 (2) | |
| Internet access | .02 | ||
| Yes | 97 (98) | 70 (85) | |
| No | 0 (0) | 5 (6) | |
| Not reported | 2 (2) | 7 (9) | |
| Frequency of internet use for any medical information | .12 | ||
| Rarely | 21 (21) | 30 (39) | |
| Daily | 18 (18) | 10 (13) | |
| Weekly | 20 (20) | 12 (15) | |
| Monthly | 39 (40) | 26 (33) |
Values are expressed as n (%) except for age. Data missing for 4 survey respondents.
value determined by use of the Wilcoxon rank-sum test; all other P values were determined by use of the Fisher exact test.
Significant difference between groups (P < .05).
Demographic Details of Patients Who Use Physician-Rating Websites Versus Nonusers
| Demographic Factor | Users | Nonusers |
|
|---|---|---|---|
| Patients | 59 (32.2) | 124 (67.8) | |
| Age, y, mean ± SD | 42.4 ± 14.7 | 35.6 ± 14.7 | .0039 |
| Sex | .43 | ||
| Female | 28 (47) | 52 (41) | |
| Male | 31 (53) | 74 (59) | |
| Race/ethnicity | .13 | ||
| White | 28 (47) | 75 (60) | |
| Black | 18 (31) | 27 (21) | |
| Asian | 6 (10) | 4 (3) | |
| Hispanic | 3 (5) | 9 (7) | |
| Other | 1 (2) | 3 (2) | |
| Not reported | 3 (5) | 8 (6) | |
| Highest level of education | .30 | ||
| Grade 1-8 | 2 (3) | 9 (7) | |
| Some high school | 2 (3) | 4 (3) | |
| High school graduate or GED | 7 (12) | 28 (22) | |
| Some college, no degree | 5 (8) | 12 (10) | |
| Associates degree | 2 (3) | 3 (2) | |
| Bachelor’s degree | 19 (32) | 45 (36) | |
| Graduate degree | 21 (36) | 24 (19) | |
| Not reported | 1 (2) | 1 (1) | |
| Annual household income | .05 | ||
| Less than $70,000 | 15 (25) | 52 (41) | |
| More than $70,000 | 37 (63) | 55 (44) | |
| Not reported | 7 (12) | 19 (15) | |
| Health insurance | .17 | ||
| State insurance | 20 (34) | 61 (48) | |
| Private insurance | 37 (63) | 61 (48) | |
| No insurance | 2 (3) | 4 (3) | |
| Internet access | .68 | ||
| Yes | 56 (95) | 115 (91) | |
| No | 1 (2) | 4 (3) | |
| Not reported | 2 (3) | 7 (6) | |
| Frequency of internet use for any medical information | .0009 | ||
| Rarely | 6 (10) | 45 (37) | |
| Daily | 8 (14) | 20 (16) | |
| Weekly | 16 (28) | 17 (14) | |
| Monthly | 28 (48) | 40 (33) |
Values expressed as n (%) except for age. Data missing for 2 survey respondents.
value determined by use of the Wilcoxon rank-sum test; all other P values were determined by use of the Fisher exact test.
Significant difference between groups (P < .05).
Figure 1.Reasons for using the internet prior to orthopaedic appointment.
Figure 2.Reasons for not using the internet prior to orthopaedic appointment.
Figure 3.Physician-rating websites used.
Quantified Importance of Physician Review Factors
| Physician Review Factor (Importance of…) | Strongly Disagree | Disagree | Neutral | Agree | Strongly Agree | Score, Mean ± SD |
|---|---|---|---|---|---|---|
| 1. Doctor’s “star” rating | 1 (2.0) | 0 (0.0) | 7 (12.0) | 29 (49.0) | 22 (37) | 4.20 ± 0.79 |
| 2. Hospital’s “star” rating | 0 (0.0) | 0 (0.0) | 15 (25.4) | 21 (35.6) | 23 (39.0) | 4.16 ± 0.79 |
| 3. Patients’ written comments about the doctor | 1 (2.0) | 0 (0.0) | 4 (7.0) | 30 (51.0) | 24 (41.0) | 4.29 ± 0.74 |
| 4. Number of written comments | 2 (3.0) | 2 (3.0) | 20 (34.0) | 18 (31.0) | 17 (29.0) | 3.78 ± 1.01 |
Factors were graded on a scale of 1 to 5 points: 1, strongly disagree; 2, disagree; 3, neutral; 4, agree; 5, strongly agree. Patient responses for each factor are expressed as n (%). The percentages are based on 59 patients who used physician-rating websites.
Figure 4.Desired information about the physician.
Figure 5.Would physician encouragement promote use of internet-based information?
Figure 6.Can you trust orthopaedic information found online?