Contextual factors influencing physicians’ perception of antibiotic prescribing in primary care in Germany - A prospective observational study

2021 ◽  
Author(s):  
Annika Queder ◽  
Christine Arnold ◽  
Michel Wensing ◽  
Regina Poß-Doering
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Logistic Regression ◽  
Observational Study ◽  
Work Experience ◽  
Prospective Observational Study ◽  
Contextual Factors ◽  
System Level ◽  
Antibiotic Prescribing ◽  
Perceived Impact

Abstract BackgroundAntimicrobial resistance is a worldwide challenge for health services and systems alike. To reduce the overuse of antibiotics, multifaceted interventions are often used to achieve sustainable effects. It can be assumed that these effects are influenced by contextual factors. Embedded in the cluster randomized trial ARena (Sustainable reduction of antibiotic-induced antimicrobial resistance), the aim of this present study was to identify contextual factors associated with practitioners’ perceptions of antibiotic prescribing in German primary health care.MethodsIn a prospective observational study, data were generated in a three-wave survey study between January 2018 and July 2019. Analysis was performed using logistic regression models. The outcome of interest was the physician perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing, the independent variables of interest included individual characteristics, intervention arm allocation, primary care network (PCN) environment and characteristics of the medical practice.Results46.8% (n = 126) of participants indicated to have perceived an impact on their decision-making regarding antibiotic prescribing by participating in the ARena project. Bivariate logistic regression analyses indicated that work experience (odds ratio (OR) 1.05, 95% confidence interval (CI) 1.006–1.103), PCN environment (OR 2.06, 95% CI 1.256–3.363), structural conditions (OR 1.66, 95% CI 1.161–2.371), environment of existing processes (OR 1.46, 95% CI 1.011–2.094), and externally defined general conditions (OR 1.57, 95% CI 1.035–2.378) were associated with physicians’ perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing. In the multivariate logistic regression analysis, only work experience OR 1.05 (95% CI 1.001–1.104) continuously showed a significant influence.ConclusionsThis study indicates that contextual factors at individual, practice, and system level influence physicians’ perceptions of antibiotic prescribing.Trial registrationISRCTN, ISRCTN58150046 (registered 13.09.2017).

scholarly journals Contextual Factors Influencing Physicians’ Perception of Antibiotic Prescribing in Primary Care in Germany - A Prospective Observational Study

2021 ◽  
Author(s):  
Annika Queder ◽  
Christine Arnold ◽  
Michel Wensing ◽  
Regina Poß-Doering
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Logistic Regression ◽  
Antimicrobial Resistance ◽  
Observational Study ◽  
Work Experience ◽  
Prospective Observational Study ◽  
Contextual Factors ◽  
Antibiotic Prescribing ◽  
Perceived Impact

Abstract Background: Antimicrobial resistance is a worldwide challenge for health services and systems alike. To reduce the overuse of antibiotics, multifaceted interventions are often used to achieve sustainable effects. It can be assumed that these effects are influenced by contextual factors. Embedded in the cluster randomized trial ARena (Sustainable reduction of antibiotic-induced antimicrobial resistance), the aim of this present study was to identify contextual factors associated with practitioners’ perceptions of antibiotic prescribing in German primary health care. Methods: In a prospective observational study, data were generated in a three-wave survey study between January 2018 and July 2019. Analysis was performed using logistic regression models. The outcome of interest was the physician perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing, the independent variables of interest included individual characteristics, intervention arm allocation, primary care network (PCN) environment and characteristics of the medical practice.Results: 46.8% (n= 126) of participants indicated to have perceived an impact on their decision-making regarding antibiotic prescribing by participating in the ARena project. Bivariate logistic regression analyses indicated that work experience (odds ratio (OR) 1.05, 95% confidence interval (CI) 1.006–1.103), PCN environment (OR 2.06, 95% CI 1.256–3.363), structural conditions (OR 1.66, 95% CI 1.161–2.371), environment of existing processes (OR 1.46, 95% CI 1.011–2.094), and externally defined general conditions (OR 1.57, 95% CI 1.035–2.378) were associated with physicians’ perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing. In the multivariate logistic regression analysis, only work experience OR 1.05 (95% CI 1.001–1.104) continuously showed a significant influence.Conclusions: This study indicates that contextual factors at individual, practice, and system level influence physicians’ perceptions of antibiotic prescribing. Trial registration: ISRCTN, ISRCTN58150046 (registered 13.09.2017).

scholarly journals Time spent in primary care for hip osteoarthritis patients once the diagnosis is set: a prospective observational study

2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Nienke Paans ◽  
Willem Jan van der Veen ◽  
Klaas van der Meer ◽  
Sjoerd K Bulstra ◽  
Inge van den Akker-Scheek ◽  
...  
Keyword(s):  
Primary Care ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Hip Osteoarthritis

scholarly journals The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: a prospective observational study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Observational Study ◽  
Elderly Patients ◽  
Prospective Observational Study ◽  
Multivariate Logistic Regression Analysis ◽  
Glycemic Variability ◽  
Multivariate Logistic Regression

Abstract Background This study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes. Methods We conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%. Results In the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses. Conclusions Among elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined. Trial registration UMIN-CTR: UMIN000029993. Registered 16 November 2017

scholarly journals Safety netting in routine primary care consultations: an observational study using video-recorded UK consultations

2019 ◽  
Vol 69 (689) ◽  
pp. e878-e886 ◽  
Author(s):  
Peter J Edwards ◽  
Matthew J Ridd ◽  
Emily Sanderson ◽  
Rebecca K Barnes
Keyword(s):  
Primary Care ◽  
Logistic Regression ◽  
Observational Study ◽  
Confidence Interval ◽  
Treatment Planning ◽  
Odds Ratio ◽  
Adult Patients ◽  
Specific Advice ◽  
The Uk ◽  
Safety Netting

BackgroundSafety-netting advice is information shared with a patient or their carer designed to help them identify the need to seek further medical help if their condition fails to improve, changes, or if they have concerns about their health.AimTo assess when and how safety-netting advice is delivered in routine GP consultations.Design and settingThis was an observational study using 318 recorded GP consultations with adult patients in the UK.MethodA safety-netting coding tool was applied to all consultations. Logistic regression for the presence or absence of safety-netting advice was compared between patient, clinician, and problem variables.ResultsA total of 390 episodes of safety-netting advice were observed in 205/318 (64.5%) consultations for 257/555 (46.3%) problems. Most advice was initiated by the GP (94.9%) and delivered in the treatment planning (52.1%) or closing (31.5%) consultation phases. Specific advice was delivered in almost half (47.2%) of episodes. Safety-netting advice was more likely to be present for problems that were acute (odds ratio [OR] 2.18, 95% confidence interval [CI] = 1.30 to 3.64), assessed first in the consultation (OR 2.94, 95% CI = 1.85 to 4.68) or assessed by GPs aged ≤49 years (OR 2.56, 95% CI = 1.45 to 4.51). Safety-netting advice was documented for only 109/242 (45.0%) problems.ConclusionGPs appear to commonly give safety-netting advice, but the contingencies or actions required on the patient’s part may not always be specific or documented. The likelihood of safety-netting advice being delivered may vary according to characteristics of the problem or the GP. How to assess safety-netting outcomes in terms of patient benefits and harms does warrant further exploration.

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