| Literature DB >> 28394180 |
Margrethe Bordado Sköld1, Rune Aabenhus1, Ann Dorrit Guassora1, Marjukka Mäkelä1,2.
Abstract
BACKGROUND: Prescribing antibiotics for acute respiratory tract infections (RTIs) is common in primary healthcare although most of these infections are of viral origin and antibiotics may not be helpful. Some of these prescriptions will not be associated with a quick recovery, and might be regarded as cases of antibiotic treatment failure (ATF).Entities:
Keywords: Antibiotic treatment failure; acute respiratory tract infection; doctor–patient relationship; general practice; qualitative study
Mesh:
Substances:
Year: 2017 PMID: 28394180 PMCID: PMC5774263 DOI: 10.1080/13814788.2017.1305105
Source DB: PubMed Journal: Eur J Gen Pract ISSN: 1381-4788 Impact factor: 1.904
Interview guide.
| Questions based on if the GP remembered a specific, relevant case | Questions on the topic in general (both in relation to the GPs’ own definition of ATF and when consulting patients with acute RTIs) |
|---|---|
| Do you remember a specific case of antibiotic treatment failure? | Do you consider antibiotic treatment failure a general problem in general practice (your own practice/generally)? |
Example of the process of analysis, turning meaning unit into codes.
| MEANING UNIT | CODES | |
|---|---|---|
| ‘I don’t know how many treatment failures there are. I have my own clinical experience, and I don’t encounter many treatment failures there. I encounter perhaps more uncertain diagnoses, or that the treatment was initiated on a loose indication. And then I find that it is perhaps more diagnostic failure than treatment failure right?’ | → | I. Overall treatment failure is not a great concern/is unimportant. |
| → | II. Treatment failure is hard to define and ‘get a hold of’. |
Example of theme, category, subcategories and some belonging codes.
| Theme | Antibiotic treatment | |||
|---|---|---|---|---|
| Category | Factors of influence | |||
| Sub-categories | Scientific influence | Influence due to patient characteristics | Influence due to patient demand | Influence due to other factors |
| Codes | Guidelines followed as far as possible | Expectations of low patient compliance | Requests for children from their parents | Time pressure |
Baseline characteristics of participants.
| GP | Gender | Years as GP |
|---|---|---|
| 1 | Male | 0 |
| 2 | Male | 0 |
| 3 | Female | 1 |
| 4 | Male | 0 |
| 5 | Female | 1 |
| 6 | Female | 21 |
| 7 | Male | 35 |
| 8 | Male | 30 |
| 9 | Male | 32 |
| 10 | Female | 0 |
| 11 | Female | 12 |
| 12 | Male | 12 |
| 13 | Male | 20 |
| 14 | Female | 23 |
| 15 | Male | 9 |
| 16 | Female | 24 |
| 17 | Male | 20 |
| 18 | Female | 20 |
In specialist training.