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Ran X, Morden NE, Meara E, Moen EL, Rockmore DN, O’Malley AJ. Exploiting relationship directionality to enhance statistical modeling of peer-influence across social networks. Stat Med 2024; 43:4073-4097. [PMID: 38981613 PMCID: PMC11338714 DOI: 10.1002/sim.10169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/15/2024] [Accepted: 06/25/2024] [Indexed: 07/11/2024]
Abstract
Risky-prescribing is the excessive or inappropriate prescription of drugs that singly or in combination pose significant risks of adverse health outcomes. In the United States, prescribing of opioids and other "risky" drugs is a national public health concern. We use a novel data framework-a directed network connecting physicians who encounter the same patients in a sequence of visits-to investigate if risky-prescribing diffuses across physicians through a process of peer-influence. Using a shared-patient network of 10 661 Ohio-based physicians constructed from Medicare claims data over 2014-2015, we extract information on the order in which patients encountered physicians to derive a directed patient-sharing network. This enables the novel decomposition of peer-effects of a medical practice such as risky-prescribing into directional (outbound and inbound) and bidirectional (mutual) relationship components. Using this framework, we develop models of peer-effects for contagion in risky-prescribing behavior as well as spillover effects. The latter is measured in terms of adverse health events suspected to be related to risky-prescribing in patients of peer-physicians. Estimated peer-effects were strongest when the patient-sharing relationship was mutual as opposed to directional. Using simulations we confirmed that our modeling and estimation strategies allows simultaneous estimation of each type of peer-effect (mutual and directional) with accuracy and precision. We also show that failing to account for these distinct mechanisms (a form of model mis-specification) produces misleading results, demonstrating the importance of retaining directional information in the construction of physician shared-patient networks. These findings suggest network-based interventions for reducing risky-prescribing.
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Affiliation(s)
- Xin Ran
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Nancy E. Morden
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- United HealthCare, Minnetonka, MN, USA
| | - Ellen Meara
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- National Bureau of Economic Research, Cambridge, MA, USA
| | - Erika L. Moen
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Daniel N. Rockmore
- Department of Mathematics, Dartmouth College, Hanover, NH, USA
- Department of Computer Science, Dartmouth College, Hanover, NH, USA
- The Santa Fe Institute, Santa Fe, NM, USA
| | - A. James O’Malley
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Department of Mathematics, Dartmouth College, Hanover, NH, USA
- Department of Computer Science, Dartmouth College, Hanover, NH, USA
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Ly DP, Shekelle PG, Song Z. Evidence for Anchoring Bias During Physician Decision-Making. JAMA Intern Med 2023; 183:818-823. [PMID: 37358843 PMCID: PMC10294014 DOI: 10.1001/jamainternmed.2023.2366] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 04/20/2023] [Indexed: 06/27/2023]
Abstract
Introduction Cognitive biases are hypothesized to influence physician decision-making, but large-scale evidence consistent with their influence is limited. One such bias is anchoring bias, or the focus on a single-often initial-piece of information when making clinical decisions without sufficiently adjusting to later information. Objective To examine whether physicians were less likely to test patients with congestive heart failure (CHF) presenting to the emergency department (ED) with shortness of breath (SOB) for pulmonary embolism (PE) when the patient visit reason section, documented in triage before physicians see the patient, mentioned CHF. Design, Setting, and Participants In this cross-sectional study of 2011 to 2018 national Veterans Affairs data, patients with CHF presenting with SOB in Veterans Affairs EDs were included in the analysis. Analyses were performed from July 2019 to January 2023. Exposure The patient visit reason section, documented in triage before physicians see the patient, mentions CHF. Main Outcomes and Measures The main outcomes were testing for PE (D-dimer, computed tomography scan of the chest with contrast, ventilation/perfusion scan, lower-extremity ultrasonography), time to PE testing (among those tested for PE), B-type natriuretic peptide (BNP) testing, acute PE diagnosed in the ED, and acute PE ultimately diagnosed (within 30 days of ED visit). Results The present sample included 108 019 patients (mean [SD] age, 71.9 [10.8] years; 2.5% female) with CHF presenting with SOB, 4.1% of whom had mention of CHF in the patient visit reason section of the triage documentation. Overall, 13.2% of patients received PE testing, on average within 76 minutes, 71.4% received BNP testing, 0.23% were diagnosed with acute PE in the ED, and 1.1% were ultimately diagnosed with acute PE. In adjusted analyses, mention of CHF was associated with a 4.6 percentage point (pp) reduction (95% CI, -5.7 to -3.5 pp) in PE testing, 15.5 more minutes (95% CI, 5.7-25.3 minutes) to PE testing, and 6.9 pp (95% CI, 4.3-9.4 pp) more BNP testing. Mention of CHF was associated with a 0.15 pp lower (95% CI, -0.23 to -0.08 pp) likelihood of PE diagnosis in the ED, although no significant association between the mention of CHF and ultimately diagnosed PE was observed (0.06 pp difference; 95% CI, -0.23 to 0.36 pp). Conclusions and Relevance In this cross-sectional study among patients with CHF presenting with SOB, physicians were less likely to test for PE when the patient visit reason that was documented before they saw the patient mentioned CHF. Physicians may anchor on such initial information in decision-making, which in this case was associated with delayed workup and diagnosis of PE.
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Affiliation(s)
- Dan P. Ly
- Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, California
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Paul G. Shekelle
- Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, California
| | - Zirui Song
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Center for Primary Care, Harvard Medical School, Boston, Massachusetts
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Kobe EA, Sullivan BA, Qin X, Redding TS, Hauser ER, Madison AN, Miller C, Efird JT, Gellad ZF, Weiss D, Sims KJ, Williams CD, Lieberman DA, Provenzale D. Longitudinal assessment of colonoscopy adverse events in the prospective Cooperative Studies Program no. 380 colorectal cancer screening and surveillance cohort. Gastrointest Endosc 2022; 96:553-562.e3. [PMID: 35533738 PMCID: PMC9531542 DOI: 10.1016/j.gie.2022.04.1343] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 04/30/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Data are limited regarding colonoscopy risk during long-term, programmatic colorectal cancer screening and follow-up. We aimed to describe adverse events during follow-up in a colonoscopy screening program after the baseline examination and examine factors associated with increased risk. METHODS Cooperative Studies Program no. 380 includes 3121 asymptomatic veterans aged 50 to 75 years who underwent screening colonoscopy between 1994 and 1997. Periprocedure adverse events requiring significant intervention were defined as major events (other events were minor) and were tracked during follow-up for at least 10 years. Multivariable odds ratios (ORs) were calculated for factors associated with risk of follow-up adverse events. RESULTS Of 3727 follow-up examinations in 1983 participants, adverse events occurred in 105 examinations (2.8%) in 93 individuals, including 22 major and 87 minor events (examinations may have had >1 event). Incidence of major events (per 1000 examinations) remained relatively stable over time, with 6.1 events at examination 2, 4.8 at examination 3, and 7.2 at examination 4. Examinations with major events included 1 perforation, 3 GI bleeds requiring intervention, and 17 cardiopulmonary events. History of prior colonoscopic adverse events was associated with increased risk of events (major or minor) during follow-up (OR, 2.7; 95% confidence interval, 1.6-4.6). CONCLUSIONS Long-term programmatic screening and surveillance was safe, as major events were rare during follow-up. However, serious cardiopulmonary events were the most common major events. These results highlight the need for detailed assessments of comorbid conditions during routine clinical practice, which could help inform individual decisions regarding the utility of ongoing colonoscopy follow-up.
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Affiliation(s)
- Elizabeth A Kobe
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC; School of Medicine, Duke University, Durham, NC
| | - Brian A Sullivan
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC; Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC
| | - Xuejun Qin
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC
| | - Thomas S Redding
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC
| | - Elizabeth R Hauser
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC
| | - Ashton N Madison
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC
| | - Cameron Miller
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Jimmy T Efird
- Cooperative Studies Program Coordinating Center, Boston VA Health Care System, Boston, MA
| | - Ziad F Gellad
- Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC
| | - David Weiss
- Cooperative Studies Program Coordinating Center, Perry Point Veterans Affairs Medical Center, Perry Point, MD
| | - Kellie J Sims
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC
| | - Christina D Williams
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC; Department of Medicine, Duke University Medical Center, Durham, NC
| | - David A Lieberman
- Portland Veteran Affairs Medical Center, Portland, OR; Division of Gastroenterology and Hepatology, School of Medicine, Oregon Health and Science University, Portland, OR
| | - Dawn Provenzale
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC; Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC
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Wang AZ, Barnett ML, Cohen JL. Changes in Cancer Screening Rates Following a New Cancer Diagnosis in a Primary Care Patient Panel. JAMA Netw Open 2022; 5:e2222131. [PMID: 35838669 PMCID: PMC9287757 DOI: 10.1001/jamanetworkopen.2022.22131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IMPORTANCE Although screenings for breast and colorectal cancer are widely recommended, patient screening rates vary greatly and remain below public health targets, and primary care physicians' (PCPs') counseling and referrals play critical roles in patients' use of cancer screenings. Recent adverse events may influence PCPs' decision-making, but it remains unknown whether cancer screening rates of PCPs' patients change after PCPs are exposed to new cancer diagnoses. OBJECTIVE To investigate whether PCPs' exposures to patients with new diagnoses of breast or colorectal cancer were associated with changes in screening rates for other patients subsequently visiting the affected PCPs. DESIGN, SETTING, AND PARTICIPANTS This cohort study used stacked difference-in-differences analyses of all-payer claims data for New Hampshire and Maine in 2009 to 2015. Participants were PCPs caring for patients. Data analysis was performed from June 2020 to May 2022. EXPOSURES New diagnosis of a PCP's patient with breast cancer or colorectal cancer. MAIN OUTCOMES AND MEASURES Patients' breast and colorectal cancer screening rates within 1 year of a PCP visit. RESULTS The sample included 3158 PCPs (1819 male PCPs [57.6%]) caring for 1 920 189 patients (1 073 408 female patients [55.9%]; mean [SD] age, 41.0 [21.9] years) aged 18 to 64 years. During the study period, 898 PCPs had a patient with a new diagnosis of breast cancer and 370 PCPs had a patient with a new diagnosis of colorectal cancer. In the preexposure period, 68 837 female patients (37.3% of those visiting a PCP) underwent breast cancer screening within 1 year of the visit, and 13 137 patients (10.1% of those visiting a PCP) underwent colorectal cancer screening within 1 year of the visit. For both cancer types, after exposure to a new cancer diagnosis, PCPs' cancer screening rates displayed a rapid, sustained increase. Breast cancer screening rates increased by 4.5 percentage points (95% CI, 3.0-6.1 percentage points; P < .001). Colorectal cancer screening rates increased by 1.3 percentage points (95% CI, 0.3-2.2 percentage points; P = .01). Observed breast cancer screening increases were higher for male PCPs than for female PCPs (3.1 percentage points; 95% CI, 0.4-5.8 percentage points; P = .03). CONCLUSIONS AND RELEVANCE This study found significant, sustained increases in cancer screening rates for patients visiting PCPs recently exposed to new breast and colorectal cancer diagnoses. These findings suggest that PCPs may update practice patterns on the basis of recent patient diagnoses. Future work should assess whether salient cues to PCPs about patient diagnoses when clinically appropriate can improve screening practices.
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Affiliation(s)
- Annabel Z. Wang
- Harvard Medical School, Harvard University, Cambridge, Massachusetts
| | - Michael L. Barnett
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jessica L. Cohen
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Abstract
[Figure: see text].
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Affiliation(s)
- Manasvini Singh
- College of Social and Behavioral Sciences, University of Massachusetts, Amherst, MA, USA
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Ly DP. The Influence of the Availability Heuristic on Physicians in the Emergency Department. Ann Emerg Med 2021; 78:650-657. [PMID: 34373141 DOI: 10.1016/j.annemergmed.2021.06.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/15/2021] [Accepted: 06/14/2021] [Indexed: 11/27/2022]
Abstract
STUDY OBJECTIVE Heuristics, or rules of thumb, are hypothesized to influence the care physicians deliver. One such heuristic is the availability heuristic, under which assessments of an event's likelihood are affected by how easily the event comes to mind. We examined whether the availability heuristic influences physician testing in a common, high-risk clinical scenario: assessing patients with shortness of breath for the risk of pulmonary embolism. METHODS We performed an event study from 2011 to 2018 of emergency physicians caring for patients presenting with shortness of breath to 104 Veterans Affairs (VA) hospitals. Our measures were physician rates of pulmonary embolism testing (D-dimer and/or computed tomography scan) for subsequent patients after having a patient visit with a pulmonary embolism discharge diagnosis, hypothesizing that physician rates of pulmonary embolism testing would increase after having a recent patient visit with a pulmonary embolism diagnosis due to the availability heuristic. RESULTS The sample included 7,370 emergency physicians who had 416,720 patient visits for shortness of breath. The mean rate of pulmonary embolism testing was 9.0%. For physicians who had a recent patient visit with a pulmonary embolism diagnosis, their rate of pulmonary embolism testing for subsequent patients increased by 1.4 percentage points (95% confidence interval 0.42 to 2.34) in the 10 days after, which is approximately 15% relative to the mean rate of pulmonary embolism testing. We failed to find statistically significant changes in rates of pulmonary embolism testing in the subsequent 50 days following these first 10 days. CONCLUSION After having a recent patient visit with a pulmonary embolism diagnosis, physicians increase their rates of pulmonary embolism testing for subsequent patients, but this increase does not persist. These results provide large-scale evidence that the availability heuristic may play a role in complex testing decisions.
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Affiliation(s)
- Dan P Ly
- VA Greater Los Angeles Healthcare System, Los Angeles, CA; VA Boston Healthcare System, Boston, MA; Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA.
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Zhan YX, Luo GH. DNA methylation detection methods used in colorectal cancer. World J Clin Cases 2019; 7:2916-2929. [PMID: 31624740 PMCID: PMC6795732 DOI: 10.12998/wjcc.v7.i19.2916] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 08/22/2019] [Accepted: 09/09/2019] [Indexed: 02/05/2023] Open
Abstract
Colorectal cancer (CRC) remains a major contributor to the number of cancer-related deaths that occur annually worldwide. With the development of molecular biology methods, an increasing number of molecular biomarkers have been identified and investigated. CRC is believed to result from an accumulation of epigenetic changes, and detecting aberrant DNA methylation patterns is useful for both the early diagnosis and prognosis of CRC. Numerous studies are focusing on the development of DNA methylation detection methods or DNA methylation panels. Thus, this review will discuss the commonly used techniques and technologies to evaluate DNA methylation, their merits and deficiencies as well as the prospects for new methods.
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Affiliation(s)
- Yu-Xia Zhan
- Comprehensive Laboratory, Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research, the Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu Province, China
| | - Guang-Hua Luo
- Comprehensive Laboratory, Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research, the Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu Province, China
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