| Literature DB >> 32960773 |
Regina Poss-Doering1, Lukas Kuehn1, Martina Kamradt1, Katharina Glassen1, Michel Wensing1.
Abstract
BACKGROUND: Antimicrobial resistance is an important global health issue. In Germany, the national agenda supports various interventions to convert habits of antibiotic use. In the CHANGE-3 (Converting Habits of Antibiotic Use for Respiratory Tract Infections in German Primary Care) study, digital tools were applied for information delivery: tablet computers in primary care practices, e-learning platforms for medical professionals, and a public website to promote awareness and health literacy among primary care physicians, their teams, and their patients.Entities:
Keywords: antimicrobial resistance; diffusion of innovations; educative digital solutions; health literacy
Mesh:
Substances:
Year: 2020 PMID: 32960773 PMCID: PMC7578814 DOI: 10.2196/18200
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Screenshot of the study-specific website in German (“Fewer antibiotics…more health literacy”).
Figure 2Screenshot of the study-specific website in German (“Fewer antibiotics…more hygiene”).
Figure 3Theorizing analysis approach of the study. DIT: Diffusion of Innovations theory.
Sociodemographic characteristics of the survey participants (T1) in this study (N=185).
| Characteristic | GPsa (n=80) |
| MAsb (n=105) |
|
|
| Intervention group (n=41) | Control group (n=39) | Intervention group (n=50) | Control group (n=55) |
| Age, mean (SD) | 53.2 (9.13) | 52.7 (9.6) | 40.9 (11.75) | 42.0 (12.1) |
| Female sex, n (%) | 17 (42.0) | 14 (36.0) | 50 (100.0) | 54 (98.0) |
| Experience (years), mean (SD) | 24.7 (9.6) | 23.3 (9.2) | 16.5 (11) | 17.2 (11.2) |
| Implemented changes in the last 2 years, n (%) | 28 (68) | 34 (82) | 34 (75) | 38 (70) |
| Participated in another project to improve antibiotic prescribing, n (%) | 15 (37) | 19 (49) | 14 (28) | 32 (62) |
aGPs: general practitioners.
bMAs: medical assistants.
Sociodemographic characteristics of the interview participants in this study (N=39).
| Characteristic | GPsa (n=16) | MAsb (n=7) | Patients (n=16) |
| Age, mean (SD) | 53 (8.29) | 48 (11.8) | 36 (12.2) |
| Female sex, n (%) | 9 (56) | 7 (100) | 10 (62.5) |
| Years of expertise, mean (SD) | 24 (8.2) | 22 (11.8) | N/Ac |
| Years with current employer, mean (SD) | N/A | 16.7 (6.1) | N/A |
| Years of consulting this GP, mean (SD) | N/A | N/A | 8 (8) |
aGPs: general practitioners.
bMAs: medical assistants.
cN/A: not applicable.
Uptake of digital components in the intervention group of the study, n (%).
| Digital device | T1 survey | T2 survey | ||
|
| GPsa (n=41) | MAsb (n=50) | GPs (n=32) | MAs (n=32) |
| Visited website | 21 (51) | 22 (44) | 14 (44) | 13 (41) |
| Used e-learning | 8 (20) | 14 (28) | 10 (31) | 2 (6) |
| Used tablet | 21 (51) | 31(62) | 15 (47) | 20 (63) |
aGPs: general practitioners.
bMAs: medical assistants.
Perceptions of the intervention component characteristics by the general practitioners, n (%).
| Digital device | T1 survey (n=41) | T2 survey (n=32) |
| Website provides impulses for new behaviors, n (%) | N/Aa | 17 (56) |
| E-learning platform provides benefits in addressing patients’ expectations, n (%) | 7 (17) | 11 (34) |
| Tablet provides benefits in addressing patients’ expectations, n (%) | 9 (22) | 5 (16) |
aN/A: not available.
Perceptions of the intervention component characteristics by the medical assistants, n (%).
| Digital device | T1 survey (n=50) | T2 survey (n=32) |
| Website is supportive for patient communication, n (%) | 22 (44) | 19 (59) |
| Website motivates me to support the GPa more intensely, n (%) | 17 (34) | 19 (59) |
| E-learning platform motivates me to support the GP in treating ARTIb infections, n (%) | 11 (22) | 6 (19) |
| Tablet is supportive of my daily routine, n (%) | 18 (36) | 16 (50) |
aGP: general practitioner.
bARTI: acute respiratory tract infection.