Affiliation:
1. Department of Clinical Sciences, Lund University, Lund, Sweden
2. Futurum, Region Jönköping's County, Sweden
3. School of Health and Welfare, Jönköping University, Jönköping, Sweden
Abstract
Background The growing use of digital primary care consultations has led to concerns about resource use, equity and quality. One of these is how it affects antibiotic prescription. Differences in ease of access for patients and available diagnostic information for the prescribing physicians are reasons to believe prescription rates may be affected. Objectives We estimated differences in antibiotic prescription between traditional office-based and digital contacts, if these differences varied between groups of diagnoses depending on the availability of information for the prescribing physician, and if differences were associated with socio-demographic patient characteristics. Methods Using individual level register data for a sample of patients diagnosed with an infection over a two-year period, we estimated differences in prescription between the two types of contacts and applied propensity score techniques to mitigate possible problems with treatment selection bias. Results The share of antibiotic prescription was 28 (95% CI 27–30, p < 0.001) to 33 (95% CI 29–36, p < 0.001) percentage points lower among digital contacts as compared to office-based contacts. For urinary tract infections, the differences in prescription rates between the two contact types were smaller (34 to 41 percentage points difference) than for throat and skin infections (50 to 60 percentage points difference). For women, rural, older, and people born outside Sweden, digital contacts were associated with higher prescription rates. Conclusions Antibiotic prescription rates were significantly lower for digital contacts compared with office-based contacts. The findings suggest that digital primary care may be an effective alternative to in-person visits without undue consequences for antibiotic prescription levels, although to varying degree depending on diagnosis.
Funder
The Swedish Research Council for Health, Working Life and Welfare
Subject
Health Information Management,Computer Science Applications,Health Informatics,Health Policy
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