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Dive into the research topics where Lawrence Garber is active.

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Featured researches published by Lawrence Garber.


Journal of the American Geriatrics Society | 2004

Risk Factors for Adverse Drug Events Among Older Adults in the Ambulatory Setting

Terry S. Field; Jerry H. Gurwitz; Leslie R. Harrold; Jeffrey M. Rothschild; Kristin R. DeBellis; Andrew C. Seger; Jill C. Auger; Leslie A. Garber; Cynthia A. Cadoret; Leslie S. Fish; Lawrence Garber; Michael Kelleher; David W. Bates

Objectives: To gather information on patient‐level factors associated with risk of adverse drug events (ADEs) that may allow focus of prevention efforts on patients at high risk.


Journal of the American Medical Informatics Association | 2004

Strategies for detecting adverse drug events among older persons in the ambulatory setting

Terry S. Field; Jerry H. Gurwitz; Leslie R. Harrold; Jeffrey M. Rothschild; Kristin R. DeBellis; Andrew C. Seger; Leslie S. Fish; Lawrence Garber; Michael Kelleher; David W. Bates

OBJECTIVE To examine various strategies for the identification of adverse drug events (ADEs) among older persons in the ambulatory clinical setting. DESIGN A cohort study of Medicare enrollees (n = 31,757 per month) receiving medical care from a large multispecialty group practice during a 12-month observation period (July 1, 1999 through June 30, 2000). MEASUREMENTS Possible drug-related incidents occurring in the ambulatory clinical setting were detected using signals from multiple sources. RESULTS During the tracking period, there were 1,523 identified ADEs, of which 421 (28%) were considered preventable. Across all sources, 23,917 signals were found; 12,791 (53%) were potential incidents that led to review of a patients medical record and 2,266 (9%) were presented to physician reviewers. Although the positive predictive value (PPV) for reports from providers was high compared with other sources (54%), only 11% of the ADEs and 6% of the preventable ADEs were identified through this source. PPVs for other sources ranged from a low of 4% for administrative incident reports to a high of 12% for free-text review of electronic notes. Computer-generated signals were the source for 31% of the ADEs and 37% of the preventable ADEs. Electronic notes were the source for 39% of the ADEs and 29% of the preventable ADEs. There was little overlap in the ADEs identified across all sources. CONCLUSION Our findings emphasize the limitations of voluntary reporting by health care providers as the principal means for detection of ADEs and suggest that multiple strategies are required to detect ADEs in geriatric ambulatory patients.


Journal of the American Geriatrics Society | 2013

Adverse Drug Events After Hospital Discharge in Older Adults: Types, Severity, and Involvement of Beers Criteria Medications

Abir O. Kanaan; Jennifer L. Donovan; Nerissa P. Duchin; Terry S. Field; Jennifer Tjia; Sarah L. Cutrona; Shawn J. Gagne; Lawrence Garber; Peggy Preusse; Leslie R. Harrold; Jerry H. Gurwitz

To characterize adverse drug events (ADEs) occurring within the high‐risk 45‐day period after hospitalization in older adults.


Journal of the American Geriatrics Society | 2014

An electronic health record-based intervention to increase follow-up office visits and decrease rehospitalization in older adults

Jerry H. Gurwitz; Terry S. Field; Jessica Ogarek; Jennifer Tjia; Sarah L. Cutrona; Leslie R. Harrold; Shawn J. Gagne; Peggy Preusse; Jennifer L. Donovan; Abir O. Kanaan; George W. Reed; Lawrence Garber

To assess the effect of an electronic health record–based transitional care intervention involving automated alerts to primary care providers and staff when older adults were discharged from the hospital.


Chest | 2016

Patient Portals: An Underused Resource for Improving Patient Engagement

Bengisu Tulu; John Trudel; Diane M. Strong; Sharon A. Johnson; Devi Sundaresan; Lawrence Garber

The potential of patient portals to improve patient engagement and health outcomes has been discussed for more than a decade. The slow growth in patient portal adoption rates among patients and providers in the United States, despite external incentives, indicates that this is a complex issue. We examined evidence of patient portal use and effects with a focus on the pulmonary domain. We found a paucity of studies of patient portal use in pulmonary practice, and highlight gaps for future research. We also report on the experience of a pulmonary department using a patient portal to highlight the potential of these systems.


JMIR Research Protocols | 2016

Improving Rates of Influenza Vaccination Through Electronic Health Record Portal Messages, Interactive Voice Recognition Calls and Patient-Enabled Electronic Health Record Updates: Protocol for a Randomized Controlled Trial

Sarah L. Cutrona; Meera Sreedhara; Sarah L. Goff; Lloyd D. Fisher; Peggy Preusse; Madeline Jackson; Devi Sundaresan; Lawrence Garber; Kathleen M. Mazor

Background Clinical decision support (CDS), including computerized reminders for providers and patients, can improve health outcomes. CDS promoting influenza vaccination, delivered directly to patients via an electronic health record (EHR) patient portal and interactive voice recognition (IVR) calls, offers an innovative approach to improving patient care. Objective To test the effectiveness of an EHR patient portal and IVR outreach to improve rates of influenza vaccination in a large multispecialty group practice in central Massachusetts. Methods We describe a nonblinded, randomized controlled trial of EHR patient portal messages and IVR calls designed to promote influenza vaccination. In our preparatory phase, we conducted qualitative interviews with patients, providers, and staff to inform development of EHR portal messages with embedded questionnaires and IVR call scripts. We also provided practice-wide education on influenza vaccines to all physicians and staff members, including information on existing vaccine-specific EHR CDS. Outreach will target adult patients who remain unvaccinated for more than 2 months after the start of the influenza season. Using computer-generated randomization and a factorial design, we will assign 20,000 patients who are active users of electronic patient portals to one of the 4 study arms: (1) receipt of a portal message promoting influenza vaccines and offering online appointment scheduling; (2) receipt of an IVR call with similar content but without appointment facilitation; (3) both (1) and (2); or (4) neither (1) nor (2) (usual care). We will randomize patients without electronic portals (10,000 patients) to (1) receipt of IVR call or (2) usual care. Both portal messages and IVR calls promote influenza vaccine completion. Our primary outcome is percentage of eligible patients with influenza vaccines administered at our group practice during the 2014-15 influenza season. Both outreach methods also solicit patient self-report on influenza vaccinations completed outside the clinic or on barriers to influenza vaccination. Self-reported data from both outreach modes will be uploaded into the EHR to increase accuracy of existing provider-directed EHR CDS (vaccine alerts). Results With our proposed sample size and using a factorial design, power calculations using baseline vaccination rate estimates indicated that 4286 participants per arm would give 80% power to detect a 3% improvement in influenza vaccination rates between groups (α=.05; 2-sided). Intention-to-treat unadjusted chi-square analyses will be performed to assess the impact of portal messages, either alone or in combination with the IVR call, on influenza vaccination rates. The project was funded in January 2014. Patient enrollment for the project described here completed in December 2014. Data analysis is currently under way and first results are expected to be submitted for publication in 2016. Conclusions If successful, this study’s intervention may be adapted by other large health care organizations to increase vaccination rates among their eligible patients. ClinicalTrial ClinicalTrials.gov NCT02266277; https://clinicaltrials.gov/ct2/show/NCT02266277 (Archived by WebCite at http://www.webcitation.org/6fbLviHLH).


Journal of Medical Economics | 2015

Economic simulation of canagliflozin and sitagliptin treatment outcomes in patients with type 2 diabetes mellitus with inadequate glycemic control

Marie-Hélène Lafeuille; Amanda Melina Grittner; Jonathan Gravel; Robert A. Bailey; Silas Martin; Lawrence Garber; Mei Sheng Duh; Patrick Lefebvre

Abstract Objectives: This study examines the association between changes in diabetes-related quality measures (QMs) (HbA1c, systolic and diastolic blood pressure [BP], low-density lipoprotein cholesterol [LDL-C], and body weight) and healthcare costs in Type 2 diabetes mellitus (T2DM) patients. It also performs an economic simulation that evaluates the cost implications of the changes in QMs and of the incidence rates (IRs) of adverse events (AEs) associated with canagliflozin (CANA) and sitagliptin (SITA) treatments in a real-world setting. Methods: Health-insurance claims and electronic medical records from the Reliant Medical Group database (2007–2011) were used to identify adult patients with T2DM receiving metformin and sulfonylurea who did not achieve adequate glycemic control. The association between the changes in QMs and healthcare costs was evaluated using multivariate regression and non-parametric bootstrap methods. AE-related costs were taken from the literature. The cost impact of CANA and SITA outcomes was evaluated using the aforementioned costs and the changes in QMs and the IRs of AEs observed in a recent phase 3 trial comparing CANA and SITA as third oral agent (DIA3015). Results: Eight hundred and fifty-six T2DM patients were identified (mean age = 65.8; female 45.4%). The regression analysis found that increases of 1 percentage point in HbA1C and 1% in systolic and diastolic BP, LDL-C, or weight were associated with a per patient per year (PPPY) cost increase of


Journal of diabetes science and technology | 2013

Association of Self-Monitoring of Blood Glucose Use on Glycated Hemoglobin and Weight in Newly Diagnosed, Insulin-Naïve Adult Patients with Type 2 Diabetes

Naunihal S. Virdi; Patrick Lefebvre; Hélène Parisé; Mei Sheng Duh; Dominic Pilon; François Laliberté; Devi Sundaresan; Lawrence Garber; Riad Dirani

4476 (p = 0.028) and


Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2018

Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE): A Cluster-Randomized Pragmatic Trial of a Multifactorial Fall Injury Prevention Strategy: Design and Methods

Shalender Bhasin; Thomas M. Gill; David B. Reuben; Nancy K. Latham; Jerry H. Gurwitz; Patricia C. Dykes; Siobhan McMahon; Thomas W. Storer; Pamela W. Duncan; David A. Ganz; Shehzad Basaria; Michael E Miller; Thomas G. Travison; Erich J. Greene; James Dziura; Denise A. Esserman; Heather G. Allore; Martha B Carnie; Maureen Fagan; Catherine Hanson; Dorothy I. Baker; Susan L. Greenspan; Neil B. Alexander; Fred C. Ko; Albert L. Siu; Elena Volpi; Albert W. Wu; Jeremy N. Rich; Stephen C. Waring; Robert B. Wallace

566 (p = 0.006), a decrease of


International Journal of Human-computer Interaction | 2017

Consumer Health Informatics Interventions Must Support User Workflows, Be Easy-To-Use, and Improve Cognition: Applying the SEIPS 2.0 Model to Evaluate Patients’ and Clinicians’ Experiences with the CONDUIT-HID Intervention

Vanessa I. Martinez; Jenna L. Marquard; Barry G. Saver; Lawrence Garber; Peggy Preusse

362 (p = 0.070) and

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Jerry H. Gurwitz

University of Massachusetts Medical School

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Terry S. Field

University of Massachusetts Medical School

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Peggy Preusse

University of Massachusetts Medical School

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Shawn J. Gagne

University of Massachusetts Medical School

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Abir O. Kanaan

University of Massachusetts Medical School

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Jennifer Tjia

University of Massachusetts Medical School

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Bengisu Tulu

Worcester Polytechnic Institute

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Diane M. Strong

Worcester Polytechnic Institute

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Sharon A. Johnson

Worcester Polytechnic Institute

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