scholarly journals Off-label drug prescriptions in French general practice: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e026076 ◽  
Author(s):  
François Drogou ◽  
Allison Netboute ◽  
Joris Giai ◽  
Xavier Dode ◽  
David Darmon ◽  
...  

ObjectivesOff-label drug prescribing is a public health and economic issue. The aim of this study was to describe off-label prescription in general practice in France, in terms of frequency and nature, and to identify its main determining factors.DesignMulticentre cross-sectional studySettingTwenty-three training general practice officesParticipantsAll the voluntary patients coming for a medical consultation or visited at home over a cumulative period of 5 days per office between November 2015 and January 2016.MethodsEleven interns, acting as observers, collected data. Two reviewers analysed the drugs prescribed by the trainers, in order to identify those prescribed off-label in terms of their indication or the age of the patient. We used a univariate, then a multivariate model, based on hierarchical mixed-effects logistic regression.ResultsAmong the 4932 drug prescriptions registered, 911 (18.5%[95% CI17.4% to 19.6%]) were off-label, of which 865 (17.6%) due to the indication of the drug and 58 (1.2%) due to the age of the patient. The prescription never mentioned the off-label use, neither was the patient informed of it, as required by the French law. With the multivariate analysis, variables contributing to off-label prescription were the number of drugs (OR=1.05 for each additional drug), the initiation of new drug therapy (OR=1.26) and the non-specific goal of the prescription (OR=1.43); the age of the patient ≤14 years (OR=1.42); the rural location of the physician’s practice (OR=1.38) and the low frequency of the visits of national health insurance representatives (OR=0.93).ConclusionAlmost one out of five drugs prescribed in French general practice was off-label. It seems necessary to better train physicians in clinical pharmacology, to provide them with more effective drug prescription software, to reinforce postmarketing surveillance and to clearly define off-label use by consensus.

2018 ◽  
Vol 75 (2) ◽  
pp. 275-283
Author(s):  
Florent De Bruyne ◽  
Arnaud Ponçon ◽  
Joris Giai ◽  
Xavier Dode ◽  
David Darmon ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Louis Bernard ◽  
René Ecochard ◽  
François Gueyffier ◽  
Laurent Letrilliart

Abstract Background Care goals are often implicit, although their identification is a key element of any prescription process. This study aimed to describe the clinical goals of drug prescriptions in general practice, their determinants and the agreement between physicians and patients. Methods This was a cross-sectional study conducted by 11 resident trainees acting as observers in 23 general practices. The residents recorded the indication and main physician’s goal for all drugs prescribed during five consultation days in each practice in December 2015, and the main patient’s goal for a sub-sample of consultations. We used an eight-category generic classification of prescription goals, including three specific (mortality, morbidity and cure), three non-specific (symptoms, quality of life, functioning) and two non-specified (other goal, no goal) categories. Analyses were based on a multivariable, multilevel model and on the kappa statistic applied to the sub-sample of consultations. Results The sample encompassed 2141 consultations and 5036 drugs. The main physicians’ goal of drug prescriptions was to relieve symptoms (43.3%). The other goals were to decrease the risk of morbidity (22.4%), to cure disease (11.7%), to improve quality of life (10.6%), to decrease the risk of mortality (8.5%) and to improve functioning (1.8%). The choice of a specific goal was more frequent in patients with the following characteristics: over 50 (OR [1.09;1.15]), of male gender (OR [1.09;1.39]), with full financial coverage for a long-term condition (OR [1.47;1.97]), known by the physician (OR [1.19;2.23]), or with a somatic health problem (OR [2.56;4.17]). Cohen’s kappa for drug prescription goals between the patients and the physicians was 0.26 (0.23–0.30). Conclusions Physicians’ goals are poorly shared with patients. It remains to be assessed whether it is possible to collect and discuss information on prescription goals on a daily basis.


2021 ◽  
Vol 8 ◽  
pp. 2333794X2199217
Author(s):  
Alaa Yehya ◽  
Mohammad Numan ◽  
Laila Matalqah

Objectives. To provide a qualitative and a quantitative analysis of H1-antihistamines pharmacological uses pattern among children (<6 years old) and to evaluate the parental-related awareness. Methods. A cross-sectional study was carried out at 5 retail pharmacies in Jordan over 5 months (October/2019-February/2020). Parents who requested any of H1-antihistmine agent for a child (<6 years) were invited to participate. Results. A total of 516 children, most of them were toddlers (1-3) years, received at least 1 H1-antihistamine. More than half of the cases received H1-antihistamine as self-medication (56.3%). Sedating antihistamine agents were the most frequently used among children (<6 years old) (77.9%) among which Chlorpheniramine maleate was the most commonly used agent (62.9%). About half of the children (47.0%) received H1-antihistamine to induce sleep. Whereas, 21.7% and 12.9% received them to manage flu, and allergic rhinitis (AR), respectively. Around 66.6% of the cases were classified as off-label use. Most of the parents (80.5%) were aware of the sedative adverse effects of H1-antihistamines, whereas a fewer number (31.9%) were aware of their cognitive effects. Finally, more than two thirds of parents (79.7%) were unfamiliar with off-label drug use in children. Conclusion. Despite the availability of less-sedating H1-antihistamines with a wide safety and efficacy record, the use of sedating H1-antihistamines remains popular in children.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039625
Author(s):  
Jason I Chiang ◽  
John Furler ◽  
Frances Mair ◽  
Bhautesh D Jani ◽  
Barbara I Nicholl ◽  
...  

ObjectivesTo explore the prevalence of multimorbidity as well as individual and combinations of long-term conditions (LTCs) in people with type 2 diabetes (T2D) attending Australian general practice, using electronic health record (EHR) data. We also examine the association between multimorbidity condition count (total/concordant(T2D related)/discordant(unrelated)) and glycaemia (glycated haemoglobin, HbA1c).DesignCross-sectional study.SettingAustralian general practice.Participants69 718 people with T2D with a general practice encounter between 2013 and 2015 captured in the MedicineInsight database (EHR Data from 557 general practices and >3.8 million Australian patients).Primary and secondary outcome measuresPrevalence of multimorbidity, individual and combinations of LTCs. Multivariable linear regression models used to examine associations between multimorbidity counts and HbA1c (%).ResultsMean (SD) age 66.42 (12.70) years, 46.1% female and mean (SD) HbA1c 7.1 (1.4)%. More than 90% of participants with T2D were living with multimorbidity. Discordant conditions were more prevalent (83.4%) than concordant conditions (69.9 %). The three most prevalent discordant conditions were: painful conditions (55.4%), dyspepsia (31.6%) and depression (22.8%). The three most prevalent concordant conditions were hypertension (61.4%), coronary heart disease (17.1%) and chronic kidney disease (8.5%). The three most common combinations of conditions were: painful conditions and hypertension (38.8%), painful conditions and dyspepsia (23.1%) and hypertension and dyspepsia (22.7%). We found no associations between any multimorbidity counts (total, concordant and discordant) or combinations and HbA1c.ConclusionsMultimorbidity was common in our cohort of people with T2D attending Australian general practice, but was not associated with glycaemia. Although we did not explore mortality in this study, our results suggest that the increased mortality in those with multimorbidity and T2D observed in other studies may not be linked to glycaemia. Interestingly, discordant conditions were more prevalent than concordant conditions with painful conditions being the second most common comorbidity. Better understanding of the implications of different patterns of multimorbidity in people with T2D will allow more effective tailored care.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Elizabeth Thomas ◽  
HuiJun Chih ◽  
Belinda Gabbe ◽  
Melinda Fitzgerald ◽  
Gill Cowen

Abstract Background General Practitioners (GPs) may be called upon to assess patients who have sustained a concussion despite limited information being available at this assessment. Information relating to how concussion is actually being assessed and managed in General Practice is scarce. This study aimed to identify characteristics of current Western Australian (WA) GP exposure to patients with concussion, factors associated with GPs’ knowledge of concussion, confidence of GPs in diagnosing and managing patients with concussion, typical referral practices and familiarity of GPs with guidelines. Methods In this cross-sectional study, GPs in WA were recruited via the RACGP WA newsletter and shareGP and the consented GPs completed an electronic survey. Associations were performed using Chi-squared tests or Fisher’s Exact test. Results Sixty-six GPs in WA responded to the survey (response rate = 1.7%). Demographics, usual practice, knowledge, confidence, identification of prolonged recovery as well as guideline and resource awareness of GPs who practised in regional and metropolitan areas were comparable (p > 0.05). Characteristics of GPs were similar between those who identified all symptoms of concussion and distractors correctly and those who did not (p > 0.05). However, 84% of the respondents who had never heard of concussion guidelines were less likely to answer all symptoms and distractors correctly (p = 0.039). Whilst 78% of the GPs who were confident in their diagnoses had heard of guidelines (p = 0.029), confidence in managing concussion was not significantly associated with GPs exposure to guidelines. It should be noted that none of the respondents correctly identified signs of concussion and excluded the distractors. Conclusions Knowledge surrounding concussion guidelines, diagnosis and management varied across GPs in WA. Promotion of available concussion guidelines may assist GPs who lack confidence in making a diagnosis. The lack of association between GPs exposure to guidelines and confidence managing concussion highlights that concussion management may be an area where GPs could benefit from additional education and support.


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