| Title |
Rhinosinusitis in morbidity registrations in Dutch General Practice: a retro-spective case-control study
|
|---|---|
| Published in |
BMC Primary Care, September 2015
|
| DOI | 10.1186/s12875-015-0332-8 |
| Pubmed ID | |
| Authors |
Ruth Hoffmans, Tjard Schermer, Karin van der Linde, Hans Bor, Kees van Boven, Chris van Weel, Wytske Fokkens |
| Abstract |
There is only limited accurate data on the epidemiology of rhinosinusitis in primary care. This study was conducted to assess the incidence of acute and chronic rhinosinusitis by analysing data from two Dutch general practice registration projects. Several patient characteristics and diseases are related to the diagnosis rhinosinusitis. The Continuous Morbidity Registration (CMR) and the Transitionproject (TP) are used to analyse the data on rhinosinusitis in primary practice. Both registries use codes to register diagnoses. In the CMR 3244 patients are registered with rhinosinusitis and in the TP 5424 CMR: The absolute incidence of (acute) rhinosinusitis is 5191 (18.8 per 1000 patient years). Regarding an odds ratio of 5.58, having nasal polyps is strongest related to rhinosinusitis compared to the other evaluated comorbidities. A separate code for chronic rhinosinusitis exists, but is not in use. TP: Acute and chronic rhinosinusitis are coded as one diagnosis. The incidence of rhinosinusitis is 5574 or 28.7 per 1000 patient years. Patients who visit their general practitioner with "symptoms/complaints of sinus", allergic rhinitis and "other diseases of the respiratory system" have the highest chances to be diagnosed with rhinosinusitis. Medication is prescribed in 90.6 % of the cases. Rhinosinusitis is a common diagnosis in primary practice. In the used registries no difference could be made between acute and chronic rhinosinusitis, but they give insight in comorbidity and interventions taken by the GP in case of rhinosinusitis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Professor | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Computer Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Unknown | 9 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2015.
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#22,759,802
of 25,374,917 outputs
Outputs from BMC Primary Care
#2,212
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#240,143
of 280,200 outputs
Outputs of similar age from BMC Primary Care
#57
of 60 outputs
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