| Literature DB >> 26746228 |
António Teixeira Rodrigues1,2, Mónica Ferreira3, Fátima Roque4,5, Amílcar Falcão6,7, Elmano Ramalheira8, Adolfo Figueiras9,10, Maria Teresa Herdeiro11,12.
Abstract
BACKGROUND: Understanding physicians' antibiotic-prescribing behaviour is fundamental when it comes to improving antibiotic use and tackling the growing rates of antimicrobial resistance. The aim of the study was to develop and validate--in terms of face validity, content validity and reliability--an instrument designed to assess the attitudes and knowledge underlying physician antibiotic prescribing.Entities:
Mesh:
Substances:
Year: 2016 PMID: 26746228 PMCID: PMC4705586 DOI: 10.1186/s12879-015-1332-y
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Flow diagram of questionnaire development and validation
Socio-demographic and professional characteristics of the study participants
| Primary-care physicians | Hospital-care physicians | |
|---|---|---|
| % ( | % ( | |
| Age (years) | ||
| [25; 45] | 57 % (17) | 63 % (19) |
| [46; 65] | 43 % (13) | 37 % (11) |
| Gender | ||
| Female | 67 % (20) | 60 % (18) |
| Male | 33 % (10) | 40 % (12) |
| Medical specialisation | ||
| General practitioner | 100 % (30) | 3 % (1) |
| Internal medicine | - | 37 % (11) |
| Paediatrics | - | 20 % (6) |
| Pneumology | - | 23 % (7) |
| Nephrology | - | 9 % (3) |
| Oncology | - | 3 % (1) |
| Cardiology | - | 3 % (1) |
| Activity in | ||
| Public practice | 70 % (21) | 77 % (23) |
| Public and private practice | 30 % (9) | 23 % (7) |
| Setting | ||
| Hospital care | 0 % (0) | 77 % (23) |
| Primary care | 73 % (22) | 0 % (0) |
| Both | 20 % (6) | 23 % (7) |
| NIa | 6 % (2) | - |
| Emergency activity | ||
| Yes | 77 % (23) | 93 % (28) |
| No | 23 % (7) | 7 % (2) |
NI a no information available
Intraclass correlation coefficients (ICCs) for primary-care and hospital-care physicians
| Primary-care physicians | Hospital-care physicians | |
|---|---|---|
| Section 2 – Antibiotics and resistance | ||
| Statement | ICC (95 % CI) | ICC (95 % CI) |
| S 1: Antibiotic resistance is an important Public Health problem in our setting (Ignorance). | 0.873 (0.733; 0.940)*** | 0.711 (0.394; 0.863)*** |
| S 2: In a primary-care context, one should wait for the microbiology results before treating an infectious disease (Ignorance). | 0.530 (0.013; 0.776)* | 0.751 (0.477; 0.882)*** |
| S 3: Rapid and effective diagnostic techniques are required for diagnosis of infectious diseases (Responsibility of others – Health care System). | 0.542 (0.038; 0.782)* | 0.590 (0.138; 0.805)** |
| S 4: The prescription of an antibiotic to a patient does not influence the possible appearance of resistance (Ignorance). | 0.432 (−0.193; 0.730) | 0.906 (0.801; 0.955)*** |
| S 5: I am convinced that new antibiotics will be developed to solve the problem of resistance (Responsibility of others – Investigation) | 0.548 (0.050; 0.785)* | 0.922 (0.836; 0.963)*** |
| S 6: The use of antibiotics on animals is an important cause of the appearance of new resistance to pathogenic agents in humans (Responsibility of others) | 0.858 (0.703; 0.933)*** | 0.509 (−0.031; 0.766)* |
| S 7: In case of doubt, it is preferable to use a wide-spectrum antibiotic to ensure that the patient is cured of an infection (Fear). | 0.777 (0.532; 0.894)*** | 0.926 (0.845; 0.965)*** |
| S 8: I frequently prescribe an antibiotic in situations in which it is impossible for me to conduct a systematic follow-up of the patient (Fear). | 0.666 (0.297; 0.841)** | 0.835 (0.653; 0.922)*** |
| S 9: In situations of doubt as to whether a disease might be of bacterial aetiology, it is preferable to prescribe an antibiotic (Fear). | 0.402 (−0.256; 0.715) | 0.859 (0.704; 0.933)*** |
| S 10: I frequently prescribe antibiotics because patients insist on it (Complacency). | 0.864 (0.715; 0.935)*** | 0.429 (−0.200; 0.728) |
| S 11: I sometimes prescribe antibiotics so that patients continue to trust me (Complacency). | 0.857 (0.700; 0.932)*** | 0.855 (0.695; 0.931)*** |
| S 12: I sometimes prescribe antibiotics, even when I know that they are not indicated because I do not have the time to explain to the patient the reason why they are not called for (Indifference). | 0.860 (0.705; 0.923)*** | 0.946 (0.887; 0.974)*** |
| S 13: If a patient feels that he/she needs antibiotics, he/she will manage to obtain them at the pharmacy without a prescription, even when they have not been prescribed (Responsibility of others – Other Professionals). | 0.822 (0.625; 0.915)*** | 0.753 (0.481; 0.882)*** |
| S 14: Two of the main causes of the appearance of antibiotic resistance are patient self-medication and antibiotic misuse (Responsibility of others – Patients). | 0.767 (0.510; 0.889)*** | 0.468 (−0.117; 0.747) |
| S 15: Dispensing antibiotics without a prescription should be more closely controlled (Responsibility of others – Health care System). | 0.683 (0.325; 0.851)** | 0.692 (0.353; 0.853)** |
| S 16: In a primary-care context, amoxicillin is useful for treating most respiratory infections (Ignorance). | 0.470 (−0.074; 0.748) | 0.745 (0.465; 0.879)*** |
| S 17: The phenomenon of resistance to antibiotics is mainly a problem in hospital settings (Responsibility of others – Other Professionals). | 0.690 (0.348. 0.852)** | 0.706 (0.382; 0.860)** |
| Section 3 – In the treatment of respiratory tract infections, how would you rate the usefulness of each of these sources of knowledge? | ||
| Statement | ICC (95 % CI) | ICC (95 % CI) |
| S 1’: Clinical practice guidelines. | 0.846 (0.676; 0.927)*** | 0.562 (0.079; 0.791)* |
| S 2’: Documentation furnished by the Pharmaceutical Industry. | 0.579 (0.116; 0.800)* | 0.746 (0.467; 0.879)*** |
| S 3’: Courses held by the Pharmaceutical Industry. | 0.519 (−0.011; 0.771)* | 0.734 (0.441; 0.873)*** |
| S 4’: Information furnished by Medical Information Officers. | 0.851 (0.687; 0.929)*** | 0.753 (0.481; 0.883)*** |
| S 5’: Previous clinical experience. | 0.715 (0.401; 0.864)*** | 0.714 (0.399; 0.864)** |
| S 6’: Continuing Education Courses. | 0.708 (0.387; 0.861)*** | 0.797 (0.574; 0.904)*** |
| S 7’: Others, e.g., contribution of specialists (microbiologists, infectious disease specialists, etc.). | 0.948 (0.890; 0.975)*** | 0.595 (0.148; 0.807)** |
| S 8’: Contribution of peers (of the same specialisation). | 0.764 (0.505; 0.888)*** | 0.655 (0.275; 0.836)** |
| S 9’: Data collected via the Internet. | 0.723 (0.419; 0.868)** | 0.762 (0.500; 0.887)*** |
*p < 0.05; **p < 0.01; ***p < 0.001