Organization- and System-Level Factors Influencing Implementation Overview of Case Studies

2018 ◽  
Author(s):  
Stephanie B. Wheeler
Keyword(s):  
Case Studies ◽  
Psychosocial Support ◽  
Medical Center ◽  
Academic Medical Center ◽  
System Level ◽  
Differential Outcomes ◽  
System P ◽  
Academic Medical ◽  
Patient Reported ◽  
Integrated Health Care System

Organization- and health system-level determinants of cancer outcomes are critical to understand. Studies focusing only on individual- or provider-level factors contributing to differential outcomes may mask the important, and often far-reaching, influence of organizational and system-wide structures, policies, norms, and behaviors that drive outcomes. This chapter explores case studies including implementation of patient reported outcomes symptom monitoring within a large academic medical center; cancer patient navigation programs to reduce social, economic, cultural, and system barriers to timely cancer care; how psychosocial support has been integrated into community-based and Veterans Administration (VA) oncology programs; and implementing Lynch syndrome testing within a VA integrated health care system.

scholarly journals Integration of Patient-reported Outcomes in a Total Joint Arthroplasty Program at a High-volume Academic Medical Center

2020 ◽  
Vol 4 (5) ◽  
pp. e20.00034 ◽  
Author(s):  
Surabhi Bhatt ◽  
Kristina Davis ◽  
David W. Manning ◽  
Cynthia Barnard ◽  
Terrance D. Peabody ◽  
...  
Keyword(s):  
Total Joint Arthroplasty ◽  
Patient Reported Outcomes ◽  
Medical Center ◽  
Academic Medical Center ◽  
High Volume ◽  
Joint Arthroplasty ◽  
Academic Medical ◽  
Patient Reported

scholarly journals Universal Screening of Social Determinants of Health at a Large US Academic Medical Center, 2018

2020 ◽  
Vol 110 (S2) ◽  
pp. S219-S221
Author(s):  
Dodi Meyer ◽  
Eva Lerner ◽  
Alex Phillips ◽  
Katarina Zumwalt
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Universal Screening ◽  
Medical Center ◽  
Academic Medical Center ◽  
Social Needs ◽  
Determinants Of Health ◽  
System Level ◽  
Presbyterian Hospital ◽  
Academic Medical

Universal screenings for social determinants of health (SDOH) are feasible at the health system level and enable institutions to identify unmet social needs that would otherwise go undiscovered. NewYork-Presbyterian Hospital implemented SDOH screenings together with clinical screenings in four outpatient primary care sites. Aligning SDOH screening with clinical screening was crucial for establishing provider buy-in and ensuring sustainability of screening for SDOH. Despite some challenges, universal screening for SDOH has allowed NewYork-Presbyterian Hospital to identify unmet needs to improve population health.

Electronic monitoring of patient-reported adherence and symptoms on oral chemotherapy at an academic and a community site.

2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 283-283
Author(s):  
Jim Doolin ◽  
Daniel Aaron Roberts ◽  
Christina Cibotti ◽  
Scott M Devlin ◽  
Holly Dowling ◽  
...  
Keyword(s):  
Median Time ◽  
Medical Center ◽  
Academic Medical Center ◽  
Symptom Assessment ◽  
Oral Chemotherapy ◽  
Community Practice ◽  
Financial Toxicity ◽  
Online Tool ◽  
Academic Medical ◽  
Patient Reported

283 Background: Monitoring of toxicity and adherence is often lacking for patients recently started on oral chemotherapy. National guidelines recommend active outreach to patients within a week after treatment start. We developed an online tool to actively reach out to patients newly started on oral chemotherapy at one academic medical center and community practice. Methods: A multi-disciplinary team, including patients, developed an online oral chemotherapy adherence, symptom, and financial toxicity assessment tool within REDCap. We implemented this tool for new oral chemotherapy prescriptions in May 2018 in the gastrointestinal oncology group of an academic medical center and a general community practice. To quantify the impact of this tool on symptom management, we completed a retrospective analysis of patients receiving new oral chemotherapy prescriptions at these same sites, in the 13 months immediately preceding clinical implementation of the online tool, May 2017 to May 2018. Results: In the pre-intervention historical cohort (n = 58) the median time to first symptom assessment by a clinician was 7 days (range 1 – 41 days, SD 7 days), median time to identifying a new or worsening symptom was 10 days (range 1-55 days, SD 10 days), and median time to clinical action regarding a new or worsening symptom was 10 days (range 1-104, SD 20 days). Our first intervention patient used the online tool in May 2018 to report symptoms of “nausea and fatigue,” 4 days after starting oral chemotherapy. This resulted in an oncology clinical nurse calling the patient to review symptom management by phone. Conclusions: The median time to first symptom assessment in our historical control cohort is 7 days, with standard deviation of 7 days, suggesting potential room for improvement. Thus far, the online tool has been completed by one patient. Further data will be reported regarding the uptake of this tool, the tool’s impact on quality measures, and patient reported symptoms, adherence, and financial toxicity.

scholarly journals Immediate Postoperative Pain Scores Predict Neck Pain Profile up to 1 Year Following Anterior Cervical Discectomy and Fusion

2017 ◽  
Vol 8 (3) ◽  
pp. 231-236 ◽  
Author(s):  
Owoicho Adogwa ◽  
Aladine A. Elsamadicy ◽  
Victoria D. Vuong ◽  
Ankit I. Mehta ◽  
Raul A. Vasquez ◽  
...  
Keyword(s):  
Postoperative Pain ◽  
Neck Pain ◽  
Medical Center ◽  
Academic Medical Center ◽  
Anterior Cervical Discectomy ◽  
Cervical Discectomy ◽  
Regression Methods ◽  
Pain Scores ◽  
Academic Medical ◽  
Patient Reported

Study Design: Retrospective cohort review. Objective: To assess whether immediate postoperative neck pain scores accurately predict 12-month visual analog scale–neck pain (VAS-NP) outcomes following Anterior Cervical Discectomy and Fusion surgery (ACDF). Methods: This was a retrospective study of 82 patients undergoing elective ACDF surgery at a major academic medical center. Patient reported outcomes measures VAS-NP scores were recorded on the first postoperative day, then at 6-weeks, 3, 6, and 12-months after surgery. Multivariate correlation and logistic regression methods were utilized to determine whether immediate postoperative VAS-NP score accurately predicted 1-year patient reported VAS-NP Scores. Results: Overall, 46.3% male, 25.6% were smokers, and the mean age and body mass index (BMI) were 53.7 years and 28.28 kg/m2, respectively. There were significant correlations between immediate postoperative pain scores and neck pain scores at 6 weeks VAS-NP ( P = .0015), 6 months VAS-NP ( P = .0333), and 12 months VAS-NP ( P = .0247) after surgery. Furthermore, immediate postoperative pain score is an independent predictor of 6 weeks, 6 months, and 1 year VAS-NP scores. Conclusion: Our study suggests that immediate postoperative patient reported neck pain scores accurately predicts and correlates with 12-month VAS-NP scores after an ACDF procedure. Patients with high neck pain scores after surgery are more likely to report persistent neck pain 12 months after index surgery.

scholarly journals Not ready, not set…discharge: Patient-reported barriers to discharge readiness at an academic medical center

2016 ◽  
Vol 11 (9) ◽  
pp. 610-614 ◽  
Author(s):  
James D. Harrison ◽  
Ryan S. Greysen ◽  
Ronald Jacolbia ◽  
Alice Nguyen ◽  
Andrew D. Auerbach
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Patient Reported ◽  
Discharge Readiness

scholarly journals Smartphone-Enabled Otoscopy in Neurotology/Otology

2017 ◽  
Vol 156 (3) ◽  
pp. 554-558 ◽  
Author(s):  
Omid Moshtaghi ◽  
Ronald Sahyouni ◽  
Yarah M. Haidar ◽  
Melissa Huang ◽  
Afsheen Moshtaghi ◽  
...  
Keyword(s):  
Medical Center ◽  
False Positive Rate ◽  
Academic Medical Center ◽  
Correct Diagnosis ◽  
Tertiary Care ◽  
Patient History ◽  
Academic Medical ◽  
Included Patient ◽  
Patient Reported ◽  
Positive Rate

Objective A smartphone-enabled otoscope (SEO) can capture tympanic membrane (TM) images. We sought to compare a SEO to microscopic otoscopy in the detection and evaluation of TM pathology in an otology/neurotology practice. Study Design Prospective single-site study in adults presenting over a 3-month period. Setting Neurotology clinic within a tertiary care academic medical center. Subjects and Methods Following consent, 57 patients underwent a medical and microscopic ear examination. Afterward, clinicians photographed bilateral TMs using a SEO. A second “blinded” neurotologist received a SEO-acquired image of each TM and a brief patient history. Our primary end point was identification of TM pathology (or lack thereof) and the blinded neurotologists’ corresponding diagnosis. Secondary end points included patient-reported SEO comfort levels. Results A single SEO-acquired TM image and brief patient history resulted in correct diagnosis of 96% (23/24) of normal TMs and identification of 100% (33/33) of microscope-confirmed abnormal TMs. When pathology was identified by the “blinded” physician, the diagnosis was identical to that made by the primary treating physician 82% (27/33) of the time. On patient surveys, 93% (53/57) of patients felt “very comfortable” with SEO utilization, and 88% (50/57) reported viewing acquired images was “very useful” in understanding their condition. Conclusion A SEO is 96% specific in identifying normal TMs and 100% sensitive in identifying pathology. Its 97% positive predictive value and small false-positive rate makes it a useful screening tool. Furthermore, patients are receptive to this technology and felt comfortable with its utilization in a health care or possible telemedicine setting.

Gender differences in career progress and satisfaction in an academic medical center

2002 ◽  
Vol 2 (3) ◽  
pp. 95-104 ◽  
Author(s):  
JoAnn Manson ◽  
Beverly Rockhill ◽  
Margery Resnick ◽  
Eleanor Shore ◽  
Carol Nadelson ◽  
...  
Keyword(s):  
Gender Differences ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Career Progress
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