scholarly journals Empathy, burnout, and antibiotic prescribing for acute respiratory infections: a cross-sectional primary care study in the US

2017 ◽  
Vol 67 (661) ◽  
pp. e565-e571 ◽  
Author(s):  
Bob Z Sun ◽  
Alexander Chaitoff ◽  
Bo Hu ◽  
Kathleen Neuendorf ◽  
Mahesh Manne ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Physicians ◽  
Respiratory Infections ◽  
Maslach Burnout Inventory ◽  
Antibiotic Prescribing ◽  
Acute Respiratory Infections ◽  
Cross Sectional ◽  
The Us ◽  
Physician Empathy ◽  
The Impact

BackgroundThe impact of physician–patient relationship factors, such as physician empathy and burnout, on antibiotic prescribing has not been characterised.AimTo assess associations between physician empathy and burnout and antibiotic prescribing for acute respiratory infections (ARIs) in primary care.Design and settingCross-sectional study of primary care practices in the Cleveland Clinic Health System in the US.MethodPatient and prescribing data were obtained from the medical record. All patients with primary diagnoses of ARIs from 1 January 2012 to 31 December 2013, except those with chronic obstructive pulmonary disease (COPD) or who were immunocompromised, were included. Physician empathy was measured using the Jefferson Scale of Empathy while physician burnout was measured using the Maslach Burnout Inventory. The relationship between empathy and burnout and antibiotic prescribing, adjusted for patient and provider characteristics, was analysed using multiple linear regression.ResultsIn 5937 ARI visits to 102 primary care physicians, the median proportion resulting in antibiotic prescribing was 48.6% (interquartile range [IQR] 24.1% to 70.0%). Neither physician empathy (correlation coefficient [β] 0.005, 95% confidence interval [CI] = −0.001 to 0.010, P = 0.07) nor any burnout measures were significantly associated with antibiotic prescribing: emotional exhaustion (β 0.001, 95% CI = −0.005 to 0.006, P = 0.79), tendency to depersonalise patients (β −0.009, 95% CI = −0.021 to 0.003, P = 0.13), and sense of personal accomplishment (β −0.004, 95% CI = −0.014 to 0.006, P = 0.44).ConclusionThe authors found no significant association between empathy or burnout measures and antibiotic prescribing for ARIs in primary care. Other physician characteristics should be investigated to explain individual variation in antibiotic prescribing.

scholarly journals 145. Monthly Antibiotic Prescribing Peer Comparison Combined with In-person Education Decreases Antibiotic Prescribing for Acute Respiratory Infections

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S83-S83
Author(s):  
Shelby J Kolo ◽  
David J Taber ◽  
Ronald G Washburn ◽  
Katherine A Pleasants
Keyword(s):  
Primary Care ◽  
Respiratory Infections ◽  
Primary Care Providers ◽  
The United States ◽  
Delivery Mode ◽  
Antibiotic Prescribing ◽  
Acute Respiratory Infections ◽  
Care Providers ◽  
Intervention Period ◽  
Provider Education

Abstract Background Inappropriate antibiotic prescribing is an important modifiable risk factor for antibiotic resistance. Approximately half of all antibiotics prescribed for acute respiratory infections (ARIs) in the United States may be inappropriate or unnecessary. The purpose of this quality improvement (QI) project was to evaluate the effect of three consecutive interventions on improving antibiotic prescribing for ARIs (i.e., pharyngitis, rhinosinusitis, bronchitis, common cold). Methods This was a pre-post analysis of an antimicrobial stewardship QI initiative to improve antibiotic prescribing for ARIs in six Veterans Affairs (VA) primary care clinics. Three distinct intervention phases occurred. Educational interventions included training on appropriate antibiotic prescribing for ARIs. During the first intervention period (8/2017-1/2019), education was presented virtually to primary care providers on a single occasion. In the second intervention period (2/2019-10/2019), in-person education with peer comparison was presented on a single occasion. In the third intervention period (11/2019-4/2020), education and prescribing feedback with peer comparison was presented once in-person followed by monthly emails of prescribing feedback with peer comparison. January 2016-July 2017 was used as a pre-intervention baseline period. The primary outcome was the antibiotic prescribing rate for all classifications of ARIs. Secondary outcomes included adherence to antibiotic prescribing guidance for pharyngitis and rhinosinusitis. Descriptive statistics and interrupted time series segmented regression were used to analyze the outcomes. Results Monthly antibiotic prescribing peer comparison emails in combination with in-person education was associated with a statistically significant 12.5% reduction in the rate of antibiotic prescribing for ARIs (p=0.0019). When provider education alone was used, the reduction in antibiotic prescribing was nonsignificant. Conclusion Education alone does not significantly reduce antibiotic prescribing for ARIs, regardless of the delivery mode. In contrast, education followed by monthly prescribing feedback with peer comparison was associated with a statistically significant reduction in ARI antibiotic prescribing rates. Disclosures All Authors: No reported disclosures

scholarly journals 141. Implementation of Veterans Affairs Outpatient Antimicrobial Stewardship Interventions for Asymptomatic Bacteriuria and Acute Respiratory Infections, a Stepped Wedge Randomized Study

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S81-S82
Author(s):  
Grace Mortrude ◽  
Mary Rehs ◽  
Katherine Sherman ◽  
Nathan Gundacker ◽  
Claire Dysart
Keyword(s):  
Patient Satisfaction ◽  
Primary Outcome ◽  
Respiratory Infections ◽  
Asymptomatic Bacteriuria ◽  
Educational Interventions ◽  
Antibiotic Prescribing ◽  
Acute Respiratory Infections ◽  
Stepped Wedge ◽  
Post Intervention ◽  
The Impact

Abstract Background Outpatient antimicrobial prescribing is an important target for antimicrobial stewardship (AMS) interventions to decrease antimicrobial resistance in the United States. The objective of this study was to design, implement and evaluate the impact of AMS interventions focused on asymptomatic bacteriuria (ASB) and acute respiratory infections (ARIs) in the outpatient setting. Methods This randomized, stepped-wedge trial evaluated the impact of educational interventions to providers on adult patients presenting to primary care (PC) clinics for ARIs and ASB from 10/1/19 to 1/31/20. Data was collected by retrospective chart review. An antibiotic prescribing report card was provided to PC providers, then an educational session was delivered at each PC clinic. Patient education materials were distributed to PC clinics. Interventions were made in a step-wise (figure 1) fashion. The primary outcome was percentage of overall antibiotic prescriptions as a composite of prescriptions for ASB, acute bronchitis, upper-respiratory infection otherwise unspecified, uncomplicated sinusitis, and uncomplicated pharyngitis. Secondary outcomes included individual components of the primary outcome, a composite safety endpoint of related hospital, emergency department or primary care visit within 4 weeks, antibiotic appropriateness, and patient satisfaction surveys. Figure 1 Results There were 887 patients included for analysis (405 pre-intervention, 482 post-intervention). Baseline characteristics are summarized in table 1. After controlling for type 1 error using a Bonferroni correction the primary outcome was not significantly different between groups (56% vs 49%). There was a statistically significant decrease in prescriptions for bronchitis (20.99% vs 12.66%; p=0.0003). Appropriateness of prescriptions for sinusitis (OR 4.96; CI 1.79–13.75; p=0.0021) and pharyngitis (OR 5.36; CI 1.93 – 14.90; p=0.0013) was improved in the post-intervention group. The composite safety outcome and patient satisfaction survey ratings did not differ between groups. Table 1 Conclusion Multifaceted educational interventions targeting providers can improve antibiotic prescribing for indications rarely requiring antimicrobials without increasing re-visit or patient satisfaction surveys. Disclosures All Authors: No reported disclosures

scholarly journals An antibiotic stewardship programme to reduce inappropriate antibiotic prescribing for acute respiratory infections in rural Chinese primary care facilities: study protocol for a clustered randomised controlled trial

2020 ◽  
Author(s):  
Chao Zhuo ◽  
Xiaolin Wei ◽  
Zhitong Zhang ◽  
Joseph Paul Hicks ◽  
Jinkun Zheng ◽  
...  
Keyword(s):  
Primary Care ◽  
Antibiotic Stewardship ◽  
Respiratory Infections ◽  
Inappropriate Prescribing ◽  
Antibiotic Prescribing ◽  
Acute Respiratory Infections ◽  
Care Facilities ◽  
Randomised Controlled ◽  
Antibiotic Stewardship Programme

Abstract Background: Inappropriate prescribing of antibiotics for acute respiratory infections at primary care level represents the major source of antibiotic misuse in healthcare, and is a major driver for antimicrobial resistance worldwide. In this study we will develop, pilot and evaluate the effectiveness of a comprehensive antibiotic stewardship programme in China’s primary care hospitals to reduce inappropriate prescribing of antibiotics for acute respiratory infections among all ages.Methods: We will use a parallel-group, cluster-randomised, controlled, superiority trial with blinded outcome evaluation but unblinded treatment (providers and patients). We will randomise 34 primary care hospitals from two counties within Guangdong province into the intervention and control arm (1:1 overall ratio) stratified by county (8:9 within-county ratio). In the control arm, antibiotic prescribing and management will continue through usual care. In the intervention arm, we will implement an antibiotic stewardship programme targeting family physicians and patients/caregivers. The family physician components include: 1) training using new operational guidelines, 2) improved management and peer-review of antibiotic prescribing, 3) improved electronic medical records and smart phone app facilitation. The patient/caregiver component involves patient education via family physicians, leaflets and videos. The primary outcome is the proportion of prescriptions for acute respiratory infections (excluding pneumonia) that contain any antibiotic(s). Secondary outcomes will address how frequently specific classes of antibiotics are prescribed, how frequently key non-antibiotic alternatives are prescribed and the costs of consultations. We will conduct a qualitative process evaluation to explore operational questions regarding acceptability, cultural appropriateness and burden of technology use, as well as a cost-effectiveness analysis and a long-term benefit evaluation. The duration of the intervention will be 12 months, with another 24 months post-trial long-term follow-up.Discussion: Our study is one of the first trials to evaluate the effect of an antibiotic stewardship programme in primary care settings in a low- or middle-income country (LMIC). All intervention activities will be designed to be embedded into routine primary care with strong local ownership. Through the trial we intend to impact on clinical practice and national policy in antibiotic prescription for primary care facilities in rural China and other LMICs.Trial registration: ISRCTN, ISRCTN96892547. Registered 18 August 2019, http://www.isrctn.com/ISRCTN96892547

scholarly journals Identifying antibiotic prescribing patterns through multi-level latent profile analyses: a cross-sectional survey of primary care physicians in Hubei of China

2020 ◽  
Author(s):  
Dan Wang ◽  
Chaojie Liu ◽  
Xinping Zhang ◽  
Chenxi Liu
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Primary Care Physicians ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Latent Profile Analyses ◽  
Broad Spectrum Antibiotics

Abstract Background Overuse of antibiotics significantly fuels the development of AMR, which threating the global population health. Great variations existed in antibiotic prescribing practices among physicians, indicating improvement potential for rational use of antibiotics. This study aims to identify antibiotic prescribing patterns of primary care physicians and potential determinants. Methods A cross-sectional survey was conducted on 551 physicians from 67 primary care facilities in Hubei selected through random cluster sampling, tapping into their knowledge, attitudes and prescribing practices toward antibiotics. Prescriptions (n=501,072) made by the participants from 1 January to 31 March 2018 were extracted from the medical records system. Seven indicators were calculated for each prescriber: average number of medicines per prescription, average number of antibiotics per prescription, percentage of prescriptions containing antibiotics, percentage of antibiotic prescriptions containing broad-spectrum antibiotics, percentage of antibiotic prescriptions containing parenteral administered antibiotics, percentage of antibiotic prescriptions containing restricted antibiotics, and percentage of antibiotic prescriptions containing antibiotics included in the WHO “Watch and Reserve” list. Two-level latent profile analyses were performed to identify the antibiotic prescribing patterns of physicians based on those indicators. Multi-nominal logistic regression models were established to identify determinants with the antibiotic prescribing patterns. Results On average, each primary care physician issued 909 (ranging from 100 to 11941 with a median of 474) prescriptions over the study period. The mean percentage of prescriptions containing antibiotics issued by the physicians reached 52.19% (SD=17.20%). Of those antibiotic prescriptions, an average of 82.29% (SD=15.83%) contained broad-spectrum antibiotics; 71.92% (SD=21.42%) contained parenteral administered antibiotics; 23.52% (SD=19.12%) contained antibiotics restricted by the regional government; and 67.74% (SD=20.98%) contained antibiotics listed in the WHO “Watch and Reserve” list. About 28.49% of the prescribers were identified as low antibiotic users, compared with 51.18% medium users and 20.33% high users. Higher use of antibiotics was associated with insufficient knowledge, indifference to changes, complacency with satisfied patients, low household income and rural location of the prescribers. Conclusion Great variation in antibiotic prescribing patterns exists among primary care physicians in Hubei of China. High use of antibiotics is not only associated with knowledge shortfalls but also low socioeconomic status of prescribers.

scholarly journals US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning

2020 ◽  
Author(s):  
Charlotte Blease ◽  
Anna Kharko ◽  
Cosima Locher ◽  
Catherine M. DesRoches ◽  
Kenneth D. Mandl
Keyword(s):  
Primary Care ◽  
Health Informatics ◽  
Primary Care Physicians ◽  
Response Rate ◽  
Digital Health ◽  
Training Requirements ◽  
Modified Delphi ◽  
Primary Care Workforce ◽  
The Us ◽  
The Impact

AbstractObjectiveTo solicit leading health informaticians’ predictions about the impact of AI/ML on primary care in the US in 2029.DesignA three-round online modified Delphi poll.ParticipantsTwenty-nine leading health informaticians.MethodsIn September 2019, health informatics experts were selected by the research team, and invited to participate the Delphi poll. Participation in each round was anonymous, and panelists were given between 4-8 weeks to respond to each round. In Round 1 open-ended questions solicited forecasts on the impact of AI/ML on: (1) patient care, (2) access to care, (3) the primary care workforce, (4) technological breakthroughs, and (5) the long-future for primary care physicians. Responses were coded to produce itemized statements. In Round 2, participants were invited to rate their agreement with each item along 7-point Likert scales. Responses were analyzed for consensus which was set at a predetermined interquartile range of ≤ 1. In Round 3 items that did not reach consensus were redistributed.ResultsA total of 16 experts participated in Round 1 (16/29, 55%). Of these experts 13/16 (response rate, 81%), and 13/13 (response rate, 100%), responded to Rounds 2 and 3, respectively. As a result of developments in AI/ML by 2029 experts anticipated workplace changes including incursions into the disintermediation of physician expertise, and increased AI/ML training requirements for medical students. Informaticians also forecast that by 2029 AI/ML will increase diagnostic accuracy especially among those with limited access to experts, minorities and those with rare diseases. Expert panelists also predicted that AI/ML-tools would improve access to expert doctor knowledge.ConclusionsThis study presents timely information on informaticians’ consensus views about the impact of AI/ML on US primary care in 2029. Preparation for the near-future of primary care will require improved levels of digital health literacy among patients and physicians.

scholarly journals Management of Common Infections in German Primary Care: A Cross-Sectional Survey of Knowledge and Confidence among General Practitioners and Outpatient Pediatricians

Antibiotics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1131
Author(s):  
Peter Konstantin Kurotschka ◽  
Elena Tiedemann ◽  
Dominik Wolf ◽  
Nicola Thier ◽  
Johannes Forster ◽  
...  
Keyword(s):  
Primary Care ◽  
General Practitioners ◽  
Primary Care Physicians ◽  
Antibiotic Use ◽  
Educational Interventions ◽  
Treatment Decisions ◽  
Antimicrobial Treatment ◽  
Antibiotic Prescribing ◽  
Cross Sectional Survey ◽  
Cross Sectional

Outpatient antibiotic use is closely related to antimicrobial resistance and in Germany, almost 70% of antibiotic prescriptions in human health are issued by primary care physicians (PCPs). The aim of this study was to explore PCPs, namely General Practitioners’ (GPs) and outpatient pediatricians’ (PDs) knowledge of guideline recommendations on rational antimicrobial treatment, the determinants of confidence in treatment decisions and the perceived need for training in this topic in a large sample of PCPs from southern Germany. Out of 3753 reachable PCPs, 1311 completed the survey (overall response rate = 34.9%). Knowledge of guideline recommendations and perceived confidence in making treatment decisions were high in both GPs and PDs. The two highest rated influencing factors on prescribing decisions were reported to be guideline recommendations and own clinical experiences, hence patients’ demands and expectations were judged as not influencing treatment decisions. The majority of physicians declared to have attended at least one specific training course on antibiotic use, yet almost all the participating PCPs declared to need more training on this topic. More studies are needed to explore how consultation-related and context-specific factors could influence antibiotic prescriptions in general and pediatric primary care in Germany beyond knowledge. Moreover, efforts should be undertaken to explore the training needs of PCPs in Germany, as this would serve the development of evidence-based educational interventions targeted to the improvement of antibiotic prescribing decisions rather than being focused solely on knowledge of guidelines.

scholarly journals Cross-sectional study of the association between healthcare professionals’ empathy and burnout and the number of annual primary care visits per patient under their care in Spain

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e020949 ◽  
Author(s):  
Oriol Yuguero ◽  
Edward R Melnick ◽  
Josep R. Marsal ◽  
Montserrat Esquerda ◽  
Jorge Soler-Gonzalez
Keyword(s):  
Primary Care ◽  
Healthcare Professionals ◽  
Maslach Burnout Inventory ◽  
Cross Sectional Study ◽  
Survey Study ◽  
Sectional Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Nurses And Physicians ◽  
Physician Empathy

ObjectiveThe aim of this study was to evaluate the association between physician and nurse self-reported empathy and burnout and the number of annual primary care visits per patient under their care.MethodsDesign: A cross-sectional survey study was conducted from January 2013 to July 2014. Site: The 22 primary care centres of the Lleida Health Region in Spain. Main outcome measures: The Jefferson Scale of Physician Empathy and the Maslach Burnout Inventory were used to measure empathy and burnout, respectively. The number of visits and the number of diagnoses coded per visit were obtained through the Region’s electronic health record.ResultsTwo hundred and sixty-seven healthcare professionals (physicians and nurses, 52.6% participation of the total in the region) with 301 657 patients under their care. Healthcare professionals’ degree of burnout and empathy was associated with the number of annual visits per patient under their care. Burned out nurses and physicians received fewer visits (4.5vs3.7 in nurses and 18.1vs18.9 in physicians), whereas more empathic physicians received more visits per patient (19.4vs17.2, p<0.05) and documented more diagnoses per visit (10.2vs9.7, p=0.001). Less burned out and less empathic nurses documented more diagnoses per visit (10.2vs10.0 and 8.2vs9.9, p<0.05).ConclusionsThe number of annual primary care visits per patient that healthcare professionals receive is closely associated with healthcare professionals’ empathy and burnout. These results should serve to promote empathic skills and establish organisational changes that promote efficiency in the practice and, in turn, reduce the degree of burnout of healthcare professionals.

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