Physician burnout is often assessed by healthcare organizations. Yet, scores from different burnout measures cannot currently be directly compared, limiting the interpretation of results across organizations or studies.
To link common measures of burnout to a single metric in psychometric analyses such that group-level scores from different assessments can be compared.
Cross-sectional survey.
US practices.
A total of 1355 physicians sampled from the American Medical Association Physician Masterfile.
We linked the Stanford Professional Fulfillment Index (PFI) and Mini-Z Single-Item Burnout (MZSIB) scale to the Maslach Burnout Inventory (MBI) in item response theory (IRT) fixed-calibration and equipercentile analyses and created crosswalks mapping PFI and MZSIB scores to corresponding MBI scores. We evaluated the accuracy of the results by comparing physicians' actual MBI scores to those predicted by linking and described the closest cut-point equivalencies across scales linked to the same MBI subscale using the resulting crosswalks.
IRT linking produced the most accurate results and was used to create crosswalks mapping (1) PFI Work Exhaustion (PFI-WE) and MZSIB scores to MBI Emotional Exhaustion (MBI-EE) scores and (2) PFI Interpersonal Disengagement (PFI-ID) scores to MBI Depersonalization (MBI-DP) scores. The commonly used MBI-EE raw score cut-point of ≥27 corresponded most closely with respective PFI-WE and MZSIB raw score cut-points of ≥7 and ≥3. The commonly used MBI-DP raw score cut-point of ≥10 corresponded most closely with a PFI-ID raw score cut-point of ≥9.
Our findings allow healthcare organizations using the PFI or MZSIB to compare group-level scores to historical, regional, or national MBI scores (and vice-versa).
Our findings allow healthcare organizations using the PFI or MZSIB to compare group-level scores to historical, regional, or national MBI scores (and vice-versa).
Data suggest that there were disparities in H1N1 vaccine uptake, and these may inform COVID-19 vaccination efforts. We conducted a systematic review to evaluate disparities in H1N1 vaccine uptake, factors contributing to disparities, and interventions to reduce them.
We searched English-language articles in MEDLINE ALL, PsycINFO, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials from database inception through May 8, 2020. Observational studies examining H1N1 vaccine uptake by race/ethnicity, socioeconomic status, rurality, and disability status in US settings were included. Two reviewers independently assessed study eligibility. Single-reviewer data abstraction was confirmed by a second reviewer. https://www.selleckchem.com/ We conducted independent dual quality assessment, and collective strength of evidence assessment.
We included 21 studies. African American/Black, Latino, and low-socioeconomic status participants had disproportionately lower H1N1 vaccination rates (low- to moderate-strion; and address concerns about vaccine safety and efficacy.
Department of Veterans Affairs, Veterans Health Administration, Health Services Research & Development.
PROSPERO CRD42020187078.
PROSPERO CRD42020187078.
With rising applications to internal medicine programs and pending changes in United States Medical Licensing Examination Step 1 score reporting, program directors desire transparent data for comparing applicants. The Department of Medicine Letters of Recommendation (DOM LORs) are frequently used to assess applicants and have the potential to provide clearly defined data on performance including stratification of a medical school class. Despite published guidelines on the expected content of the DOM LOR, these LORs do not always meet that need.
To better understand the degree to which DOM LORs comply with published guidelines.
We reviewed DOM LORs from 146 of 155 LCME-accredited medical schools in the 2019 Match cycle, assessing for compliance with published guidelines.
Adherence to the recommendation for DOM LORs to provide a final characterization of performance relative to peers was low (68/146, 47%). Of those that provided a final characterization, 19/68 (28%) provided a quantitative measure, and 49/68 (72%) provided a qualitative descriptor. Only 17/49 (35%) with qualitative terms described those terms, and thirteen distinct qualitative scales were identified. Ranking systems varied, with seven different titles given to highest performers. Explanations about determination of ranking groups were provided in 12% of cases.
Adherence to published guidelines for DOM LORs varies but is generally low. For program directors desiring transparent data to use in application review, clearly defined data on student performance, stratification groupings, and common language across schools could improve the utility of DOM LORs.
Adherence to published guidelines for DOM LORs varies but is generally low. For program directors desiring transparent data to use in application review, clearly defined data on student performance, stratification groupings, and common language across schools could improve the utility of DOM LORs.
To prepare for colonoscopy, patients must consume a bowel purgative and travel from their home to the site of their procedure. The timing of bowel purgative ingestion predicts bowel preparation quality. Currently, it is not known if driving distance impacts bowel preparation quality or adenoma detection.
This study investigates the effect of driving distance on bowel preparation and adenoma detection.
This is a cross-sectional retrospective analysis of outpatient screening colonoscopy procedures that were completed at an academic medical center.
A total of 5089 patients who completed screening colonoscopy across 3 procedure units were analyzed.
Description of bowel preparation was dichotomized to either adequate or inadequate. Patient residential addresses were converted into geographic coordinates for geospatial analysis of driving distance to their colonoscopy site.
Median driving distance was 13.1 miles. Eighty-nine percent of patients had an adequate bowel preparation. The rate of adenoma detection was 37%.
Physician burnout is often assessed by healthcare organizations. Yet, scores from different burnout measures cannot currently be directly compared, limiting the interpretation of results across organizations or studies.
To link common measures of burnout to a single metric in psychometric analyses such that group-level scores from different assessments can be compared.
Cross-sectional survey.
US practices.
A total of 1355 physicians sampled from the American Medical Association Physician Masterfile.
We linked the Stanford Professional Fulfillment Index (PFI) and Mini-Z Single-Item Burnout (MZSIB) scale to the Maslach Burnout Inventory (MBI) in item response theory (IRT) fixed-calibration and equipercentile analyses and created crosswalks mapping PFI and MZSIB scores to corresponding MBI scores. We evaluated the accuracy of the results by comparing physicians' actual MBI scores to those predicted by linking and described the closest cut-point equivalencies across scales linked to the same MBI subscale using the resulting crosswalks.
IRT linking produced the most accurate results and was used to create crosswalks mapping (1) PFI Work Exhaustion (PFI-WE) and MZSIB scores to MBI Emotional Exhaustion (MBI-EE) scores and (2) PFI Interpersonal Disengagement (PFI-ID) scores to MBI Depersonalization (MBI-DP) scores. The commonly used MBI-EE raw score cut-point of ≥27 corresponded most closely with respective PFI-WE and MZSIB raw score cut-points of ≥7 and ≥3. The commonly used MBI-DP raw score cut-point of ≥10 corresponded most closely with a PFI-ID raw score cut-point of ≥9.
Our findings allow healthcare organizations using the PFI or MZSIB to compare group-level scores to historical, regional, or national MBI scores (and vice-versa).
Our findings allow healthcare organizations using the PFI or MZSIB to compare group-level scores to historical, regional, or national MBI scores (and vice-versa).
Data suggest that there were disparities in H1N1 vaccine uptake, and these may inform COVID-19 vaccination efforts. We conducted a systematic review to evaluate disparities in H1N1 vaccine uptake, factors contributing to disparities, and interventions to reduce them.
We searched English-language articles in MEDLINE ALL, PsycINFO, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials from database inception through May 8, 2020. Observational studies examining H1N1 vaccine uptake by race/ethnicity, socioeconomic status, rurality, and disability status in US settings were included. Two reviewers independently assessed study eligibility. Single-reviewer data abstraction was confirmed by a second reviewer. https://www.selleckchem.com/ We conducted independent dual quality assessment, and collective strength of evidence assessment.
We included 21 studies. African American/Black, Latino, and low-socioeconomic status participants had disproportionately lower H1N1 vaccination rates (low- to moderate-strion; and address concerns about vaccine safety and efficacy.
Department of Veterans Affairs, Veterans Health Administration, Health Services Research & Development.
PROSPERO CRD42020187078.
PROSPERO CRD42020187078.
With rising applications to internal medicine programs and pending changes in United States Medical Licensing Examination Step 1 score reporting, program directors desire transparent data for comparing applicants. The Department of Medicine Letters of Recommendation (DOM LORs) are frequently used to assess applicants and have the potential to provide clearly defined data on performance including stratification of a medical school class. Despite published guidelines on the expected content of the DOM LOR, these LORs do not always meet that need.
To better understand the degree to which DOM LORs comply with published guidelines.
We reviewed DOM LORs from 146 of 155 LCME-accredited medical schools in the 2019 Match cycle, assessing for compliance with published guidelines.
Adherence to the recommendation for DOM LORs to provide a final characterization of performance relative to peers was low (68/146, 47%). Of those that provided a final characterization, 19/68 (28%) provided a quantitative measure, and 49/68 (72%) provided a qualitative descriptor. Only 17/49 (35%) with qualitative terms described those terms, and thirteen distinct qualitative scales were identified. Ranking systems varied, with seven different titles given to highest performers. Explanations about determination of ranking groups were provided in 12% of cases.
Adherence to published guidelines for DOM LORs varies but is generally low. For program directors desiring transparent data to use in application review, clearly defined data on student performance, stratification groupings, and common language across schools could improve the utility of DOM LORs.
Adherence to published guidelines for DOM LORs varies but is generally low. For program directors desiring transparent data to use in application review, clearly defined data on student performance, stratification groupings, and common language across schools could improve the utility of DOM LORs.
To prepare for colonoscopy, patients must consume a bowel purgative and travel from their home to the site of their procedure. The timing of bowel purgative ingestion predicts bowel preparation quality. Currently, it is not known if driving distance impacts bowel preparation quality or adenoma detection.
This study investigates the effect of driving distance on bowel preparation and adenoma detection.
This is a cross-sectional retrospective analysis of outpatient screening colonoscopy procedures that were completed at an academic medical center.
A total of 5089 patients who completed screening colonoscopy across 3 procedure units were analyzed.
Description of bowel preparation was dichotomized to either adequate or inadequate. Patient residential addresses were converted into geographic coordinates for geospatial analysis of driving distance to their colonoscopy site.
Median driving distance was 13.1 miles. Eighty-nine percent of patients had an adequate bowel preparation. The rate of adenoma detection was 37%.
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