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Khoong EC, Rivadeneira NA, Pacca L, Schillinger D, Lown D, Babaria P, Gupta N, Pramanik R, Tran H, Whitezell T, Somsouk M, Sarkar U. Extent of Follow-Up on Abnormal Cancer Screening in Multiple California Public Hospital Systems: A Retrospective Review. J Gen Intern Med 2023; 38:21-29. [PMID: 35641722 PMCID: PMC9849534 DOI: 10.1007/s11606-022-07657-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 05/03/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND Inequitable follow-up of abnormal cancer screening tests may contribute to racial/ethnic disparities in colon and breast cancer outcomes. However, few multi-site studies have examined follow-up of abnormal cancer screening tests and it is unknown if racial/ethnic disparities exist. OBJECTIVE This report describes patterns of performance on follow-up of abnormal colon and breast cancer screening tests and explores the extent to which racial/ethnic disparities exist in public hospital systems. DESIGN We conducted a retrospective cohort study using data from five California public hospital systems. We used multivariable robust Poisson regression analyses to examine whether patient-level factors or site predicted receipt of follow-up test. MAIN MEASURES Using data from five public hospital systems between July 2015 and June 2017, we assessed follow-up of two screening results: (1) colonoscopy after positive fecal immunochemical tests (FIT) and (2) tissue biopsy within 21 days after a BIRADS 4/5 mammogram. KEY RESULTS Of 4132 abnormal FITs, 1736 (42%) received a follow-up colonoscopy. Older age, Medicaid insurance, lack of insurance, English language, and site were negatively associated with follow-up colonoscopy, while Hispanic ethnicity and Asian race were positively associated with follow-up colonoscopy. Of 1702 BIRADS 4/5 mammograms, 1082 (64%) received a timely biopsy; only site was associated with timely follow-up biopsy. CONCLUSION Despite the vulnerabilities of public-hospital-system patients, follow-up of abnormal cancer screening tests occurs at rates similar to that of patients in other healthcare settings, with colon cancer screening test follow-up occurring at lower rates than follow-up of breast cancer screening tests. Site-level factors have larger, more consistent impact on follow-up rates than patient sociodemographic traits. Resources are needed to identify health system-level factors, such as test follow-up processes or data infrastructure, that improve abnormal cancer screening test follow-up so that effective health system-level interventions can be evaluated and disseminated.
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Affiliation(s)
- Elaine C Khoong
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA. .,UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
| | - Natalie A Rivadeneira
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Lucia Pacca
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Dean Schillinger
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - David Lown
- California Health Care Safety Net Institute, Oakland, CA, USA
| | - Palav Babaria
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,Alameda Health System, Oakland, CA, USA
| | | | - Rajiv Pramanik
- Office of Informatics & Technology and Department of Emergency Medicine, Contra Costa Health Services, Martinez, CA, USA
| | - Helen Tran
- Department of Family Medicine, Charles R. Drew University College of Medicine, Los Angeles, CA, USA.,Department of Health Services at Los Angeles County, Los Angeles, CA, USA
| | | | - Ma Somsouk
- UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.,Division of Gastroenterology, Department of Medicine, UCSF, San Francisco, CA, USA
| | - Urmimala Sarkar
- Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
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2
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Lozano PM, Lane‐Fall M, Franklin PD, Rothman RL, Gonzales R, Ong MK, Gould MK, Beebe TJ, Roumie CL, Guise J, Enders FT, Forrest CB, Mendonca EA, Starrels JL, Sarkar U, Savitz LA, Moon J, Linzer M, Ralston JD, Chesley FD. Training the next generation of learning health system scientists. Learn Health Syst 2022; 6:e10342. [PMID: 36263260 PMCID: PMC9576226 DOI: 10.1002/lrh2.10342] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/15/2022] [Accepted: 08/18/2022] [Indexed: 12/19/2022] Open
Abstract
Introduction The learning health system (LHS) aligns science, informatics, incentives, stakeholders, and culture for continuous improvement and innovation. The Agency for Healthcare Research and Quality and the Patient-Centered Outcomes Research Institute designed a K12 initiative to grow the number of LHS scientists. We describe approaches developed by 11 funded centers of excellence (COEs) to promote partnerships between scholars and health system leaders and to provide mentored research training. Methods Since 2018, the COEs have enlisted faculty, secured institutional resources, partnered with health systems, developed and implemented curricula, recruited scholars, and provided mentored training. Program directors for each COE provided descriptive data on program context, scholar characteristics, stakeholder engagement, scholar experiences with health system partnerships, roles following program completion, and key training challenges. Results To date, the 11 COEs have partnered with health systems to train 110 scholars. Nine (82%) programs partner with a Veterans Affairs health system and 9 (82%) partner with safety net providers. Clinically trained scholars (n = 87; 79%) include 70 physicians and 17 scholars in other clinical disciplines. Non-clinicians (n = 29; 26%) represent diverse fields, dominated by population health sciences. Stakeholder engagement helps scholars understand health system and patient/family needs and priorities, enabling opportunities to conduct embedded research, improve outcomes, and grow skills in translating research methods and findings into practice. Challenges include supporting scholars through roadblocks that threaten to derail projects during their limited program time, ranging from delays in access to data to COVID-19-related impediments and shifts in organizational priorities. Conclusions Four years into this novel training program, there is evidence of scholars' accomplishments, both in traditional academic terms and in terms of moving along career trajectories that hold the potential to lead and accelerate transformational health system change. Future LHS training efforts should focus on sustainability, including organizational support for scholar activities.
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Affiliation(s)
- Paula M. Lozano
- Kaiser Permanente Washington Health Research InstituteSeattleWashingtonUSA
| | - Meghan Lane‐Fall
- Department of Anesthesiology and Critical CareUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
- Department of Biostatistics, Epidemiology, and InformaticsUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Patricia D. Franklin
- Department of Medical Social ScienceNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Russell L. Rothman
- Institute for Medicine and Public HealthVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Ralph Gonzales
- Department of Medicine, Division of General Internal MedicineUCSFSan FranciscoCaliforniaUSA
- Continuous Improvement DepartmentUCSF HealthSan FranciscoCaliforniaUSA
| | - Michael K. Ong
- Department of MedicineUCLALos AngelesCaliforniaUSA
- Department of Health Policy and ManagementUCLALos AngelesCaliforniaUSA
- VA Greater Los Angeles Healthcare SystemLos AngelesCaliforniaUSA
| | - Michael K. Gould
- Department of Health System ScienceKaiser Permanente Bernard J. Tyson School of MedicinePasadenaCaliforniaUSA
| | - Timothy J. Beebe
- School of Public HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Christianne L. Roumie
- Division of General Internal Medicine and Public HealthVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Jeanne‐Marie Guise
- Department of Obstetrics and GynecologyOHSU‐PSU School of Public HealthPortlandOregonUSA
- Department of Medical Informatics and Clinical EpidemiologyOHSU‐PSU School of Public HealthPortlandOregonUSA
- Department of Emergency MedicineOHSU‐PSU School of Public HealthPortlandOregonUSA
| | - Felicity T. Enders
- Department of Quantitative Health ScienceMayo Clinic College of Medicine and ScienceRochesterMinnesotaUSA
| | - Christopher B. Forrest
- Applied Clinical Research CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Eneida A. Mendonca
- Center for Biomedical InformaticsRegenstrief Institute, Inc.IndianapolisIndianaUSA
- Department of PediatricsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of BiostatisticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Joanna L. Starrels
- Department of MedicineAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Urmimala Sarkar
- UCSF Department of Medicine, Division of General Internal MedicineUCSF Center for Vulnerable Populations, Zuckerberg San Francisco General HospitalSan FranciscoCaliforniaUSA
| | - Lucy A. Savitz
- Kaiser Permanente Center for Health ResearchPortlandOregonUSA
| | - JeanHee Moon
- Applied Clinical Research CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Mark Linzer
- Department of Medicine and the Institute for Professional WorklifeHennepin Healthcare and University of Minnesota Medical SchoolMinneapolisMinnesotaUSA
| | - James D. Ralston
- Kaiser Permanente Washington Health Research InstituteSeattleWashingtonUSA
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Hickey MD, Lisker S, Brodie S, Vittinghoff E, Russell MD, Sarkar U. Customized registry tool for tracking adherence to clinical guidelines for head and neck cancers: protocol for a pilot study. Pilot Feasibility Stud 2020; 6:16. [PMID: 32047648 PMCID: PMC7006155 DOI: 10.1186/s40814-020-0552-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 01/20/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Despite recommendations for monitoring patients with chronic and high-risk conditions, gaps still remain. These gaps are exacerbated in outpatient care, where patients and clinicians face challenges related to care coordination, multiple electronic health records, and extensive follow-up. In addition, low-income and racial/ethnic minority populations that are disproportionately cared for in safety net settings are particularly at risk to lapses in monitoring. METHODS We aim to implement and evaluate a health information technology platform developed using systems engineering methodologies. The implementation is situated in a clinic that monitors patients with head and neck cancer within a large, urban, publicly funded hospital. Our study will evaluate the time it takes for patients to progress through key treatment milestones prior to and after implementation of the tool. We will use models controlling for secular trend to estimate the effect of the tool on improving timely and successful completion of guideline-based care processes. DISCUSSION This protocol details the evaluation of the effectiveness of a human-centered health information technology intervention on improving timely delivery of care for high-risk populations. Other settings, including those that face challenges related to limited resources to devote to safety programs and fragmented health information technology, may benefit from this approach. TRIAL REGISTRATION ClinicalTrials.gov, NCT03546322. "Customized Registry Tool for Tracking Adherence to Clinical Guidelines for Head and Neck Cancers." Registered 1 June 2018.
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Affiliation(s)
- Matthew D. Hickey
- Department of Medicine, University of California San Francisco, School of Medicine, San Francisco, CA 94143 USA
| | - Sarah Lisker
- Department of Medicine, University of California San Francisco, School of Medicine, San Francisco, CA 94143 USA
- Center for Vulnerable Populations, University of California San Francisco, San Francisco, 94110 CA USA
| | - Shauna Brodie
- Department of Otolaryngology – Head and Neck Surgery, University of California San Francisco, School of Medicine, San Francisco, CA 94143 USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California San Francisco, School of Medicine, San Francisco, CA 94143 USA
| | - Marika D. Russell
- Department of Otolaryngology – Head and Neck Surgery, University of California San Francisco, School of Medicine, San Francisco, CA 94143 USA
| | - Urmimala Sarkar
- Department of Medicine, University of California San Francisco, School of Medicine, San Francisco, CA 94143 USA
- Center for Vulnerable Populations, University of California San Francisco, San Francisco, 94110 CA USA
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Patterson ES, Su G, Sarkar U. Reducing delays to diagnosis in ambulatory care settings: A macrocognition perspective. APPLIED ERGONOMICS 2020; 82:102965. [PMID: 31605828 PMCID: PMC7757423 DOI: 10.1016/j.apergo.2019.102965] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 06/30/2019] [Accepted: 09/25/2019] [Indexed: 05/13/2023]
Abstract
We aim to use a macrocognition theoretical perspective to characterize contributors to diagnostic delays by physicians that can be mitigated by work system redesign. As experienced with other complex, sociotechnical domains, system redesign is anticipated to be more effective at improving safety than training-based solutions. In the outpatient care setting, complex tasks, conducted by a primary care provider, are provided for five macrocognition functions: sensemaking, re-planning, detecting problems, deciding, and coordinating. Redesigning systems could reduce delays to diagnosis by helping users to avoid missed symptoms, forgotten follow-up activities, and delayed actions. Health information technology could support resilience strategies by offloading documentation burdens, recording working diagnoses, displaying planned follow-up activities at the correct time interval, and supporting recognition of patterns in patient care. These insights suggest a path forward for future research on system design innovations to reduce diagnostic delays, and ultimately, reduce patient harm.
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Affiliation(s)
- Emily S Patterson
- The Ohio State University, Division of Health Information Management and Systems, School of Health and Rehabilitation Sciences, College of Medicine, USA.
| | - George Su
- University of California San Francisco, Division of General Internal Medicine, UCSF Center for Vulnerable Populations, USA
| | - Urmimala Sarkar
- University of California San Francisco, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, USA
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5
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Cedars B, Lisker S, Borno HT, Kamal P, Breyer B, Sarkar U. An electronic registry to improve adherence to active surveillance monitoring among men with prostate cancer at a safety-net hospital: protocol for a pilot study. Pilot Feasibility Stud 2019; 5:101. [PMID: 31428442 PMCID: PMC6694525 DOI: 10.1186/s40814-019-0482-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 07/29/2019] [Indexed: 12/02/2022] Open
Abstract
Background The evidence-based practice of active surveillance to monitor men with favorable-risk prostate cancer in lieu of initial definitive treatment is becoming more common. However, there are barriers to effective implementation, particularly in low-resource settings. Our goal is to assess the efficacy and feasibility of a health information technology registry for men on active surveillance at a safety-net hospital to ensure patients receive guideline-recommended care. Methods We developed an electronic registry for urology clinic staff to monitor men on active surveillance. The health information technology tool was developed using the Systems Engineering Initiative for Patient Safety model and iteratively tailored to the needs of the clinic by engaging providers in a co-design process. We will enroll all men at Zuckerberg San Francisco General Hospital and Trauma Center who choose active surveillance as a treatment strategy. The primary outcomes to be assessed during this non-randomized, pragmatic evaluation are number of days delayed beyond recommended date of follow-up testing, the proportion of men who are lost to follow-up, the cancer stage at active treatment, and the feasibility and acceptability of the clinic-wide intervention with clinic staff. Secondary outcomes include appointment adherence within 30 days of the scheduled date. Discussion Use of a customized electronic approach for monitoring men on active surveillance could improve patient outcomes. It may help reduce the number of men lost to follow-up and improve adherence to timely follow-up testing. Evaluating the adoption and efficacy of a customized registry in a safety-net setting may also demonstrate feasibility for implementation in diverse clinical contexts. Trial registration ClinicalTrials.gov identifier NCT03553732, An Electronic Registry to Improve Adherence to Active Surveillance Monitoring at a Safety-net Hospital. Registered 11 June 2018.
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Affiliation(s)
- Benjamin Cedars
- 1Department of Urology, School of Medicine, University of California San Diego, 200 West Arbor Drive, San Diego, CA 92103 USA
| | - Sarah Lisker
- 2Center for Vulnerable Populations, University of California San Francisco, 2789 25th Street, San Francisco, CA 94110 USA.,3Department of Medicine, School of Medicine, University of California San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143 USA
| | - Hala T Borno
- 3Department of Medicine, School of Medicine, University of California San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143 USA
| | - Puneet Kamal
- 4Department of Urology, School of Medicine, University of California San Francisco, 1001 Potrero Avenue, San Francisco, CA 94110 USA
| | - Benjamin Breyer
- 4Department of Urology, School of Medicine, University of California San Francisco, 1001 Potrero Avenue, San Francisco, CA 94110 USA.,5Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, 550 16th Street, San Francisco, CA 94158 USA
| | - Urmimala Sarkar
- 2Center for Vulnerable Populations, University of California San Francisco, 2789 25th Street, San Francisco, CA 94110 USA.,3Department of Medicine, School of Medicine, University of California San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143 USA
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6
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Khoong EC, Cherian R, Rivadeneira NA, Gourley G, Yazdany J, Amarnath A, Schillinger D, Sarkar U. Accurate Measurement In California's Safety-Net Health Systems Has Gaps And Barriers. Health Aff (Millwood) 2018; 37:1760-1769. [PMID: 30395496 DOI: 10.1377/hlthaff.2018.0709] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Patient safety in ambulatory care has not been routinely measured. California implemented a pay-for-performance program in safety-net hospitals that incentivized measurement and improvement in key areas of ambulatory safety: referral completion, medication safety, and test follow-up. We present two years of program data (collected during July 2015-June 2017) and show both suboptimal performance in aspects of ambulatory safety and questionable reliability in data reporting. Performance was better in areas that required limited coordination or patient engagement-for example, annual medication monitoring versus follow-up after high-risk mammograms. Health care systems that lack seamlessly integrated electronic health records and patient registries encountered barriers to reporting reliable ambulatory safety data, particularly for measures that integrated multiple data elements. These data challenges precluded accurate performance measurement in many areas. Policy makers and safety advocates need to support the development of information systems and measures that facilitate the accurate ascertainment of the health systems, patients, and clinical tasks at greatest risk for ambulatory safety failures.
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Affiliation(s)
- Elaine C Khoong
- Elaine C. Khoong ( ) is a primary care research fellow in the Division of General Internal Medicine, University of California San Francisco (UCSF), and the Zuckerberg San Francisco General Hospital and Trauma Center
| | - Roy Cherian
- Roy Cherian is a research data analyst at the Center for Vulnerable Populations, UCSF, and the Zuckerberg San Francisco General Hospital and Trauma Center
| | - Natalie A Rivadeneira
- Natalie A. Rivadeneira is a research data analyst at the Center for Vulnerable Populations, UCSF, and the Zuckerberg San Francisco General Hospital and Trauma Center
| | - Gato Gourley
- Gato Gourley is a project coordinator at the Center for Vulnerable Populations, UCSF, and the Zuckerberg San Francisco General Hospital and Trauma Center
| | - Jinoos Yazdany
- Jinoos Yazdany is an associate professor of medicine in the Division of Rheumatology, UCSF
| | - Ashrith Amarnath
- Ashrith Amarnath is a patient safety officer at the Sutter Medical Foundation and a former patient safety officer in the Office of the Medical Director, Department of Health Care Services, both in Sacramento, California
| | - Dean Schillinger
- Dean Schillinger is a professor of medicine at UCSF and chief of the Division of General Internal Medicine at Zuckerberg San Francisco General Hospital and Trauma Center
| | - Urmimala Sarkar
- Urmimala Sarkar is an associate professor of medicine in the Division of General Internal Medicine, UCSF, and a primary care physician at Zuckerberg San Francisco General Hospital's Richard H. Fine People's Clinic
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