| Literature DB >> 28125965 |
Steffen Haldrup1,2, Reimar W Thomsen3, Flemming Bro4, Robert Skov5, Lars Bjerrum6, Mette Søgaard7.
Abstract
BACKGROUND: Point-of-care testing (POCT) in primary care may improve rational antibiotic prescribing. We examined use of POCT in Denmark, including patient- and general practitioner (GP)-related predictors.Entities:
Keywords: Antibiotic; General practice; Infection; Point-of-care
Mesh:
Substances:
Year: 2017 PMID: 28125965 PMCID: PMC5270219 DOI: 10.1186/s12875-016-0576-y
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Fig. 1Proportion of antibiotic prescriptions with and without a preceding microbiological point-of-care test (POCT) according to type of test
Fig. 2Proportion of antibiotic prescriptions with and without a preceding microbiological point-of-care test (POCT) in 2013 according to type of prescribed antibiotic
Fig. 3Age- and sex standardized rates of microbiological point-of-care testing in individuals prescribed antibiotics and overall volume of prescribed antibiotics in general practice, 2004–2013
Patient- and GP-related predictors of use of point-of-care (POC) testing prior to antibiotic prescribing in Denmark, 2013
| Characteristic | Number of antibiotic prescriptions | Proportions of POC testing | OR for POC testing | |||||
|---|---|---|---|---|---|---|---|---|
| POC test overall | Bacteriological cultures | Urinary test trips | Streptococcal antigen throat test | C-reactive protein | Crude OR (95% CI) | Adjusteda OR (95% CI) | ||
| Patient-related predictors | ||||||||
| Patient age, years | ||||||||
| 0–4 | 129,184 | 33% | 5% | 2% | 19% | 7% | 1.00 (reference) | 1.00 (reference) |
| 5–9 | 78,301 | 50% | 8% | 6% | 31% | 4% | 1.99 (1.96–2.03) | 1.98–(1.94–2.02) |
| 10–14 | 45,288 | 47% | 10% | 6% | 26% | 6% | 1.81 (1.77–1.85) | 1.80 (1.77–1.84) |
| 15–19 | 91,909 | 52% | 15% | 15% | 15% | 7% | 2.23 (2.19–2.26) | 2.14(2.10–2.17) |
| 20–39 | 411,473 | 49% | 14% | 12% | 12% | 10% | 1.95 (1.92-1.97) | 1.85 (1.83–1.88) |
| 40–64 | 620,369 | 42% | 9% | 13% | 5% | 15% | 1.44 (1.42-1.46) | 1.41(1.39-1.43) |
| 65–79 | 420,459 | 46% | 11% | 19% | 1% | 15% | 1.75 (1.72-1.77) | 1.73 (1.70-1.75) |
| ≥ 80 years | 272,590 | 41% | 11% | 22% | 0% | 8% | 1.38 (1.36-1.40) | 1.33 (1.31-1.35) |
| Patient sex | ||||||||
| Female | 1,320,004 | 47% | 11% | 18% | 7% | 11% | 1.00 (reference) | 1.00 (reference) |
| Male | 749,569 | 39% | 10% | 7% | 9% | 13% | 0.73 (0.73-0.73) | 0.75 (0.74-0.75) |
| Geographical region of practice location | ||||||||
| Capital Region | 597,406 | 45% | 12% | 12% | 10% | 10% | 1.00 (reference) | 1.00 (reference) |
| Central Denmark | 428,874 | 40% | 11% | 13% | 6% | 11% | 0.84 (0.83-0.85) | 0.81 (0.80-0.82) |
| North Denmark Region | 222,702 | 49% | 11% | 16% | 7% | 15% | 1.19 (1.18-1.20) | 1.19 (1.18-1.20) |
| Region Zealand | 318,353 | 43% | 8% | 17% | 7% | 10% | 0.93 (0.92-0.93) | 0.91 (0.91-0.92) |
| Region of Southern Denmark | 502,238 | 46% | 10% | 15% | 8% | 13% | 1.07 (1.06-1.07) | 1.04 (1.03-1.05) |
| City size | ||||||||
| < 5,000 inhabitants | 1,820,020 | 44% | 11% | 14% | 8% | 11% | 1.00 (reference) | 1.00 (reference) |
| ≥ 5,000 inhabitants | 249,553 | 44% | 9% | 15% | 7% | 13% | 1.02 (1.01-1.03) | 1.01 (1.01-1.01) |
| GP-related predictors | ||||||||
| GP age and sex (for single-handed practices)b | ||||||||
| < 41, female | 11,833 | 47% | 12% | 14% | 10% | 12% | 1.00 (reference) | 1.00 (reference) |
| 41-50, female | 51,698 | 49% | 13% | 15% | 10% | 12% | 1.07 (1.01-1.10) | 1.06 (1.02-1.11) |
| 51-60, female | 70,474 | 47% | 13% | 14% | 9% | 11% | 0.99 (0.97-1.05) | 1.01 (0.95-1.03) |
| > 60, female | 56,098 | 43% | 11% | 12% | 10% | 10% | 0.83 (0.81-0.88) | 0.84 (0.80-0.86) |
| < 41, male | 14,833 | 44% | 12% | 10% | 9% | 13% | 0.88 (0.83-0.91) | 0.87 (0.84-0.92) |
| 41-50, male | 46,325 | 42% | 9% | 13% | 9% | 11% | 0.81 (0.77-0.84) | 0.80 (0.78-0.85) |
| 51-60, male | 130,236 | 41% | 9% | 13% | 7% | 12% | 0.79 (0.74-0.80) | 0.77 (0.76-0.82) |
| > 60, male | 239,348 | 35% | 7% | 13% | 6% | 9% | 0.62 (0.59-0.64) | 0.61 (0.59-0.64) |
| Workloadc in quartiles | ||||||||
| < 5675 | 475,569 | 44% | 12% | 13% | 9% | 11% | 1.00 (reference) | 1.00 (reference) |
| 5675-6354 | 514,270 | 45% | 11% | 14% | 8% | 12% | 1.02 (1.02-1.04) | 1.03 (1.01-1.02) |
| 6355-7189 | 535,857 | 44% | 10% | 14% | 8% | 12% | 1.01 (0.99-1.00) | 1.00 (1.00-1.02) |
| > 7190 | 543,877 | 43% | 9% | 15% | 7% | 12% | 0.99 (0.95-0.96) | 0.96 (0.98-1.00) |
aAdjusted for patient age and sex, geographical region, city size, GP age, sex and workload (except when stratified by this variable)
bExcluding 1,051 (52%) GPs working in partnership-practices due to lack of data on age and sex for this practice type
cDefined as annual number of ordinary consultations per 1,000 registered patients