| Literature DB >> 27566627 |
Johanna L van Gaalen1, Leti van Bodegom-Vos1, Moira J Bakker1, Jiska B Snoeck-Stroband1, Jacob K Sont1.
Abstract
OBJECTIVES: The aim of this study was to explore barriers among patients, general practitioners (GPs) and practice nurses to implement internet-based self-management support as provided by PatientCoach for asthma in primary care.Entities:
Keywords: PRIMARY CARE; ehealth; implementation; medical informatics
Mesh:
Year: 2016 PMID: 27566627 PMCID: PMC5013403 DOI: 10.1136/bmjopen-2015-010809
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Patient characteristics
| N (%) | |
|---|---|
| Age (years), mean (range) | 38 (20–51) |
| Gender | |
| Female | 55 |
| ACQ* score, mean (range) | 1.2 (0–2.9) |
| Prebronchodilator FEV1 % predicted, range | 94 (79–107) |
| Level of education | |
| Low | 45 |
| Unknown | 10 |
| High | 45 |
| Ethnicity | |
| Dutch | 22 (100) |
All variables are in % except where indicated.
Low education indicates that persons whose highest education level is primary education, junior general secondary education or lower vocational education.
*Asthma Control Questionnaire, range (0) optimal asthma control–(6) uncontrolled asthma.
ACQ, asthma control questionnaire; FEV1, forced expiratory volume in 1 s; PN, practice nurse.
GP and practice nurse characteristics
| GPs (n=21) | Practice nurses (n=13) | |
|---|---|---|
| Females | 29 | 100 |
| Age (years), mean (range) | 52 (36–60) | 41 (27–58) |
| Years practising as a GP or PN | ||
| 5 | 0 | 54 |
| 5–10 | 19 | 46 |
| >10 | 81 | 0 |
| Number of GPs working within general practice | ||
| ≤2 | 52 | 31 |
| Setting | ||
| Urban | 57 | 62 |
| Rural | 43 | 38 |
All variables are in % except where indicated.
ACQ, asthma control questionnaire; GP, general practitioners; PN, practice nurse.