Observational studyJAMA network open2019
Association of Primary Care Clinic Appointment Time With Clinician Ordering and Patient Completion of Breast and Colorectal Cancer Screening.
Observational study in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed.
- Decision fatigue among military primary care physicians: a retrospective study.Israel journal of health policy research · 2026Observational
- Decision fatigue in hospital medicine: A retrospective exploratory evaluation.Journal of hospital medicine · 2026Article
- Test Ordering and Completion During Virtual vs In-Person Annual Visits.JAMA network open · 2026Article
- Decision fatigue in hospital settings: A scoping review.Journal of hospital medicine · 2025Article
- No evidence for decision fatigue using large-scale field data from healthcare.Communications psychology · 2025Article
- Biased Language in Simulated Handoffs and Clinician Recall and Attitudes.JAMA network open · 2024Article
- Assessing Decision Fatigue in General Practitioners' Prescribing Decisions Using the Australian BEACH Data Set.Medical decision making : an international journal of the Society for Medical Decision Making · 2024Article
- Psychometric Evaluation of the Decision Fatigue Scale among Korean Registered Nurses.Healthcare (Basel, Switzerland) · 2024Article
- Primary Care Physicians' Experiences With and Adaptations to Time Constraints.JAMA network open · 2024Article
- Association of Time of Day with Delays in Antimicrobial Initiation among Ward Patients with Hospital-Onset Sepsis.Annals of the American Thoracic Society · 2023Article
- Strengthening HIV and HIV co-morbidity care in low- and middle-income countries: insights from behavioural economics to improve healthcare worker behaviour.Journal of the International AIDS Society · 2023Article
- The challenge of cognitive science for medical diagnosis.Cognitive research: principles and implications · 2023Article
- Quality in Clinical Consultations: A Cross-Sectional Study.Clinics and practice · 2022Article
- Changes in Cancer Screening Rates Following a New Cancer Diagnosis in a Primary Care Patient Panel.JAMA network open · 2022Article
- Decision fatigue among clinical nurses during the COVID-19 pandemic.Journal of clinical nursing · 2022Article
- Article
- Investigating the cognitive capacity constraints of an ICU care team using a systems engineering approach.BMC anesthesiology · 2022Article
- Article
- Project SLIP: Implementation of a PrEP Screening and Linkage Intervention in Primary Care.AIDS and behavior · 2021Article
- Radiologist Variation in the Rates of Follow-up Imaging Recommendations Made for Pulmonary Nodules.Journal of the American College of Radiology : JACR · 2021Article
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7 authors.
Funding
Abstract
Importance: As the clinic day progresses, clinicians may fall behind schedule and experience decision fatigue. However, the association of time of day with cancer screening rates is unknown. Objective: To evaluate the association of primary care clinic appointment time with clinician ordering and patient completion of breast and colorectal cancer screening. Design, Setting, and Participants: Retrospective, quality improvement study of 33 primary care practices in Pennsylvania and New Jersey from September 1, 2014, to August 31, 2016. Participants included adults eligible for breast or colorectal cancer screening. Data analysis was conducted from April 24, 2018, to November 8, 2018. Exposures: Clinic appointment time during each patient's first primary care physician visit in the study period. Main Outcomes and Measures: Primary outcome was clinician ordering of the screening test during the visit. Secondary outcome was patient completion of the tests within 1 year of the visit. Results: Among the 19 254 patients eligible for breast cancer screening, the mean (SD) age was 60.2 (6.9) years; 19 254 (100%) were female, 11 682 (60.7%) were white, and 5495 (28.5%) were black. Screening test order rates were highest at 8 am at 63.7%, decreased throughout the morning to 48.7% at 11 am, increased to 56.2% at noon, and then decreased to 47.8% at 5 pm (adjusted odds ratio [OR] for overall trend, 0.94; 95% CI, 0.93-0.96; P < .001). Trends in screening test completion rates were similar beginning at 33.2% at 8 am and decreasing to 17.8% at 5 pm (adjusted OR, 0.95; 95% CI, 0.94-0.97; P < .001). Among the 33 468 patients eligible for colorectal cancer screening, the mean (SD) age was 59.6 (7.4) years; 18 672 (55.8%) were female, 22 157 (66.2%) were white, and 7296 (21.8%) were black. Screening test order rates were 36.5% at 8 am, decreased to 31.3% by 11 am, increased at noon to 34.4%, and then decreased to 23.4% at 5 pm (adjusted OR, 0.94; 95% CI, 0.93-0.95; P < .001). Trends in screening test completion rates were similar beginning at 28.0% at 8 am and decreasing to 17.8% at 5 pm (adjusted OR, 0.97; 95% CI, 0.96-0.98; P < .001). Conclusions and Relevance: Clinician ordering of cancer screening tests significantly decreased as the clinic day progressed. Patient completion of cancer screening tests within 1 year of the visit was also lower as the primary care appointment time was later in the day. Future interventions targeting improvements in cancer screening should consider how time of day may influence these behaviors.
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