Publications by authors named "Sally Bolus"

Objectives: The National Institutes of Health (NIH) created the Patient Reported Outcomes Measurement Information System (PROMIS) to allow efficient, online measurement of patient-reported outcomes (PROs), but it remains untested whether PROMIS improves outcomes. Here, we aimed to compare the impact of gastrointestinal (GI) PROMIS measures vs. usual care on patient outcomes.

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Objective: It is important for clinicians to inquire about "alarm features" as it may identify those at risk for organic disease and who require additional diagnostic workup. We developed a computer algorithm called Automated Evaluation of Gastrointestinal Symptoms (AEGIS) that systematically collects patient gastrointestinal (GI) symptoms and alarm features, and then "translates" the information into a history of present illness (HPI). Our study's objective was to compare the number of alarms documented by physicians during usual care vs.

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Objectives: Healthcare delivery now mandates shorter visits with higher documentation requirements, undermining the patient-provider interaction. To improve clinic visit efficiency, we developed a patient-provider portal that systematically collects patient symptoms using a computer algorithm called Automated Evaluation of Gastrointestinal Symptoms (AEGIS). AEGIS also automatically "translates" the patient report into a full narrative history of present illness (HPI).

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Background: Because there is wide variation in outcomes across dialysis facilities, it is possible that top-performing units use practices not shared by others. The Identifying Best Practices in Dialysis (IBPiD) Study seeks to identify practices that distinguish top- from bottom-performing facilities by key outcomes, including achievement of recommended hemoglobin targets.

Study Design: Observational study with cross-sectional study ascertainment of predictors and outcomes.

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Background And Objectives: Changes in ESRD reimbursement policy, including proposed bundled payment, have raised concern that dialysis facilities may use "cherry picking" practices to attract a healthier, better insured, or more adherent patient population.

Design, Setting, Participants, & Measurements: As part of a national survey to measure beliefs about drivers of quality in dialysis, respondents were asked about their perceptions of cherry picking, including the frequency and effect of various cherry picking strategies on dialysis outcomes. We surveyed a random sample of 250 nurse members of the American Nephrology Nurses Association, 250 nephrologist members of the American Medical Association, 50 key opinion leaders, and 2000 physician members of the Renal Physicians Association.

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Article Synopsis
  • - The study aimed to identify "best practices" in dialysis that could explain the differences in patient outcomes across facilities, as higher-performing centers may have unique practices.
  • - Through a systematic review and input from dialysis providers, 155 potential best practices were identified, with significant emphasis placed on effective multidisciplinary care, technician skills, and staff education, while opinions varied on some health maintenance practices.
  • - The findings serve as a "conceptual map" for the dialysis community, facilitating discussion on what constitutes "best practices" and setting the stage for future research on quality improvement.
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