General practice trainees' information searching strategies for clinical queries encountered in daily practice

Background. Earlier studies have shown that clinical queries are common among doctors. Data on the information-seeking behaviour of general practice (GP) trainees are scarce though, and numbers studied are small. Objective. The objective of this study was to determine how often and how GP trainees search for answers to clinical queries encountered in daily clinical practice. Methods. Third-year GP trainees kept logs on all patient contacts for eight consecutive practice days. Information was obtained on patient contacts (description), clinical queries (frequency, type), seeking behaviour (frequency, moment, reason not to search, resources used, duration of search) and answers (frequency, impact). Descriptive analyses were performed; frequencies and percentages were computed. We calculated the number of clinical queries per patient, the number of searches per query and the number of answers per search. Results. Seventy-six trainees reported 1533 clinical queries about 7300 patients presenting 7619 complaints [mean of 0.2 queries per patient, standard deviation (SD) 0.1]. For most of the queries trainees pursued an answer (mean of 0.8 per query, SD 0.2), mostly during consultation (61% of searches), and frequently retrieved answers (mean of 0.8 per search, SD 0.17) they reported to improve clinical decision making in 26%. Most common resources were colleagues or supervisors (28%), and national GP guidelines (26%). The median duration of a search was 4 minutes (interquartile range 3). Conclusion. GP trainees have one clinical query per five patients. They often attempted to find answers and reported to succeed in most of the searches, primarily by consulting supervisors or colleagues and national GP guidelines

Development and validation of a new instrument measuring guideline adherence in clinical practice

Background: Education in evidence-based medicine (EBM) is an important part of the postgraduate training of GPs. Evaluation of its effect on EBM behaviour in daily clinical practice is difficult and instruments are scarce. Working in accordance with guidelines is considered as one of the key indicators of EBM behaviour. Objective: To develop and validate an instrument assessing guideline adherence of GP trainees in clinical practice. Methods: We developed an instrument that assesses guideline adherence, taking conscious deviation into account. The instrument assesses guideline adherence on 59 different management decisions (diagnosis N = 17, therapy N = 20, referral N = 22) for 23 conditions as described in 27 different clinical practice guidelines. We validated this instrument using performance data as collected by third-year GP trainees on three important properties: validity, reliability and feasibility. Results: Performance data were collected by 76 GP trainees on 12106 patient consultations with 12587 different reasons for encounter. Overall, guideline adherence was 82% (95% confidence interval 77-88%). The significant correlation with the national GP knowledge test (r 0.33, P 0.004) showed the instrument to be a valid instrument. Interrater reliabilities (intraclass correlation coefficient) varied between moderate and excellent (0.64-1.00, P < 0.001). The instrument proved feasible with coverage of 24% (N = 3082) of reasons for encounter presented to GP trainees and a mean and median time of 1 minute to score a patient consultation. Conclusion: This instrument proved valid, reliable and feasible to assess guideline adherence among trainees in the clinical primary care setting

Impact of the COVID-19 Pandemic on Antibiotic Prescribing for Common Infections in The Netherlands: A Primary Care-Based Observational Cohort Study

In 2020, the COVID-19 pandemic brought dramatic changes in the delivery of primary health care across the world, presumably changing the number of consultations for infectious diseases and antibiotic use. We aimed to assess the impact of the pandemic on infections and antibiotic prescribing in Dutch primary care. All patients included in the routine health care database of the Julius General Practitioners’ Network were followed from March through May 2019 (n = 389,708) and March through May 2020 (n = 405,688). We extracted data on consultations for respiratory/ear, urinary tract, gastrointestinal and skin infections using the International Classification of Primary Care (ICPC) codes. These consultations were combined in disease episodes and linked to antibiotic prescriptions. The numbers of infectious disease episodes (total and those treated with antibiotics), complications, and antibiotic prescription rates (i.e., proportion of episodes treated with antibiotics) were calculated and compared between the study periods in 2019 and 2020. Fewer episodes were observed during the pandemic months than in the same months in 2019 for both the four infectious disease entities and complications such as pneumonia, mastoiditis and pyelonephritis. The largest decline was seen for gastrointestinal infections (relative risk (RR), 0.54; confidence interval (CI), 0.51 to 0.58) and skin infections (RR, 0.71; CI, 0.67 to 0.75). The number of episodes treated with antibiotics declined as well, with the largest decrease seen for respiratory/ear infections (RR, 0.54; CI, 0.52 to 0.58). The antibiotic prescription rate for respiratory/ear infections declined from 21% to 13% (difference −8.0% (CI, −8.8 to −7.2)), yet the prescription rates for other infectious disease entities remained similar or increased slightly. The decreases in primary care infectious disease episodes and antibiotic use were most pronounced in weeks 15–19, mid-COVID-19 wave, after an initial peak in respiratory/ear infection presentation in week 11, the first week of lock-down. In conclusion, our findings indicate that the COVID-19 pandemic has had profound effects on the presentation of infectious disease episodes and antibiotic use in primary care in the Netherlands. Consequently, the number of infectious disease episodes treated with antibiotics decreased. We found no evidence of an increase in complications

Routine primary care data for scientific research, quality of care programs and educational purposes : The Julius General Practitioners' Network (JGPN)

Background: General Practitioners (GPs) in the Netherlands routinely register all patient contacts electronically. These records include longitudinally gathered clinical information of the patient contacts in coded data and free text. Methods: Diagnoses are coded according to the International Coding of Primary Care (ICPC). Drug prescriptions are labelled with the Anatomical Therapeutic Chemical Classification (ATC), and letters of hospital specialists and paramedic health care professionals are linked or directly incorporated in the electronic medical files. A network of a large group of GPs collecting routine care data on an ongoing basis can be used for answering various research questions. Results: The Julius General Practitioners' Network (JGPN) database consists of routine care data from over ten years of a dynamic cohort of around 370,000 individuals registered with the participating GPs from the city of Utrecht and its vicinity. Health care data are extracted anonymously every quartile of a year and these data are used by researchers. Conclusion: We describe the content and usability of our JGPN database, and how a wide variety of research questions could be answered, as illustrated with examples of published articles

Routine primary care data for scientific research, quality of care programs and educational purposes : The Julius General Practitioners' Network (JGPN)

Background: General Practitioners (GPs) in the Netherlands routinely register all patient contacts electronically. These records include longitudinally gathered clinical information of the patient contacts in coded data and free text. Methods: Diagnoses are coded according to the International Coding of Primary Care (ICPC). Drug prescriptions are labelled with the Anatomical Therapeutic Chemical Classification (ATC), and letters of hospital specialists and paramedic health care professionals are linked or directly incorporated in the electronic medical files. A network of a large group of GPs collecting routine care data on an ongoing basis can be used for answering various research questions. Results: The Julius General Practitioners' Network (JGPN) database consists of routine care data from over ten years of a dynamic cohort of around 370,000 individuals registered with the participating GPs from the city of Utrecht and its vicinity. Health care data are extracted anonymously every quartile of a year and these data are used by researchers. Conclusion: We describe the content and usability of our JGPN database, and how a wide variety of research questions could be answered, as illustrated with examples of published articles