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Golden BP, Tackett S, Kobayashi K, Nelson TS, Agrawal AM, Zhang J, Jackson NA, Mills G, Lorigiano TJ, Hirpa M, Lin JS, Johnson T, Sajja A, Disney S, Huang S, Nayak J, Lautzenheiser M, Berry SA. Wall-mounted folding chairs to promote resident physician sitting at the hospital bedside. J Hosp Med 2024. [PMID: 38243720 DOI: 10.1002/jhm.13271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/11/2023] [Accepted: 12/26/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND Sitting at the bedside may improve patient-clinician communication; however, many clinicians do not regularly sit during inpatient encounters. OBJECTIVE To determine the impact of adding wall-mounted folding chairs inside patient rooms, beyond any impact from a resident education campaign, on the patient-reported frequency of sitting at the bedside by internal medicine resident physicians. DESIGN, SETTING, AND PARTICIPANTS Prospective, controlled pre-post trial between 2019 and 2022 (data collection paused 2020-2021 due to COVID-19) at an academic hospital in Baltimore, Maryland. Folding chairs were installed in two of four internal medicine units and educational activities were delivered equally across all units. MAIN OUTCOME AND MEASURES Patient-reported frequency of sitting at bedside, assessed as means on Likert-type items with 1 being "never" and 5 being "every single time." We also examined the frequency of other patient-reported communication behaviors. RESULTS Two hundred fifty six and 206 patients enrolled in the pre and post-intervention periods, respectively. The mean frequency of patient-reported sitting by resident physicians increased from 1.8 (SD 1.2) to 2.3 (1.2) on education-only units (absolute difference 0.48 [95% CI: 0.21-0.75]) and from 2.0 (1.3) to 3.2 (1.4) on units receiving chairs (1.16, [0.87-1.45]). Comparing differences between groups using ordered logistic regression adjusting for clustering within residents, units with added chairs had greater increases in sitting (odds ratio 2.05 [1.10-3.82]), spending enough time at the bedside (2.43 [1.32-4.49]), and checking for understanding (3.04 [1.44-6.39]). Improvements in sitting and other behaviors were sustained on both types of units. CONCLUSIONS Adding wall-mounted folding chairs may help promote effective patient-clinician communication.
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Affiliation(s)
- Blair P Golden
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Sean Tackett
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Biostatistics, Epidemiology, and Data Management Core, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Kimiyoshi Kobayashi
- Department of Medicine and Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worchester, Massachusetts, USA
| | | | - Alison M Agrawal
- Central Billing Office, University of Maryland Medical System, Baltimore, Maryland, USA
| | - Jerry Zhang
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Geron Mills
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ting-Jia Lorigiano
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Meron Hirpa
- City of Cincinnati Health Department, Cincinnati, Ohio, USA
| | - Jessica S Lin
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Trent Johnson
- Division of Cardiology, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Aparna Sajja
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Sarah Disney
- Johns Hopkins Surgery Centers Series, Baltimore, Maryland, USA
| | - Shanshan Huang
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Juhi Nayak
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matthew Lautzenheiser
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Stephen A Berry
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Golden BP, Tackett S, Kobayashi K, Nelson T, Agrawal A, Pritchett N, Tilton K, Mills G, Lorigiano TJ, Hirpa M, Lin J, Disney S, Lautzenheiser M, Huang S, Berry SA. Sitting at the Bedside: Patient and Internal Medicine Trainee Perceptions. J Gen Intern Med 2022; 37:3038-3044. [PMID: 35013927 PMCID: PMC8744572 DOI: 10.1007/s11606-021-07231-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 10/19/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Sitting at the bedside may strengthen physician-patient communication and improve patient experience. Yet despite the potential benefits of sitting, hospital physicians, including resident physicians, may not regularly sit down while speaking with patients. OBJECTIVE To examine the frequency of sitting by internal medicine residents (including first post-graduate year [PGY-1] and supervising [PGY-2/3] residents) during inpatient encounters and to assess the association between patient-reported sitting at the bedside and patients' perceptions of other physician communication behaviors. We also assessed residents' attitudes towards sitting. DESIGN In-person survey of patients and email survey of internal medicine residents between August 2019 and January 2020. PARTICIPANTS Patients admitted to general medicine teaching services and internal medicine residents at The Johns Hopkins Hospital. MAIN MEASURES Patient-reported frequency of sitting at the bedside, patients' perceptions of other communication behaviors (e.g., checking for understanding); residents' attitudes regarding sitting. KEY RESULTS Of 334 eligible patients, 256 (76%) completed a survey. Among these 256 respondents, 198 (77%) and 166 (65%) reported recognizing the PGY-1 and PGY-2/3 on their care team, respectively, for a total of 364 completed surveys. On most surveys (203/364, 56%), patients responded that residents "never" sat. Frequent sitting at the bedside ("every single time" or "most of the time," together 48/364, 13%) was correlated with other positive behaviors, including spending enough time at the bedside, checking for understanding, and not seeming to be in a rush (p < 0.01 for all). Of 151 residents, 77 (51%) completed the resident survey; 28 of the 77 (36%) reported sitting frequently. The most commonly cited barrier to sitting was that chairs were not available (38 respondents, 49%). CONCLUSIONS Patients perceived that residents sit infrequently. However, sitting was associated with other positive communication behaviors; this is compatible with the hypothesis that promoting sitting could improve overall patient perceptions of provider communication.
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Affiliation(s)
- Blair P Golden
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, K4/463 CSC, 600 Highland Avenue Madison, Madison, WI, 53792, USA.
| | - Sean Tackett
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins Bayview Medical Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Biostatistics, Epidemiology, and Data Management Core, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kimiyoshi Kobayashi
- Department of Medicine, University of Massachusetts Memorial Medical Center, Worcester, MA, USA
| | - Terry Nelson
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alison Agrawal
- Central Billing Office, University of Maryland Medical System, Hunt Valley, Baltimore, MD, USA
| | - Nicole Pritchett
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kaley Tilton
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Geron Mills
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ting-Jia Lorigiano
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Meron Hirpa
- Cincinnati Health Department, Cincinnati, OH, USA
| | - Jessica Lin
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sarah Disney
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Matt Lautzenheiser
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shanshan Huang
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephen A Berry
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Bhardwaj V, Spaulding EM, Marvel FA, LaFave S, Yu J, Mota D, Lorigiano TJ, Huynh PP, Shan R, Yesantharao PS, Lee MA, Yang WE, Demo R, Ding J, Wang J, Xun H, Shah L, Weng D, Wongvibulsin S, Carter J, Sheidy J, McLin R, Flowers J, Majmudar M, Elgin E, Vilarino V, Lumelsky D, Leung C, Allen JK, Martin SS, Padula WV. Cost-effectiveness of a Digital Health Intervention for Acute Myocardial Infarction Recovery. Med Care 2021; 59:1023-1030. [PMID: 34534188 PMCID: PMC8516712 DOI: 10.1097/mlr.0000000000001636] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Acute myocardial infarction (AMI) is a common cause of hospital admissions, readmissions, and mortality worldwide. Digital health interventions (DHIs) that promote self-management, adherence to guideline-directed therapy, and cardiovascular risk reduction may improve health outcomes in this population. The "Corrie" DHI consists of a smartphone application, smartwatch, and wireless blood pressure monitor to support medication tracking, education, vital signs monitoring, and care coordination. We aimed to assess the cost-effectiveness of this DHI plus standard of care in reducing 30-day readmissions among AMI patients in comparison to standard of care alone. METHODS A Markov model was used to explore cost-effectiveness from the hospital perspective. The time horizon of the analysis was 1 year, with 30-day cycles, using inflation-adjusted cost data with no discount rate. Currencies were quantified in US dollars, and effectiveness was measured in quality-adjusted life-years (QALYs). The results were interpreted as an incremental cost-effectiveness ratio at a threshold of $100,000 per QALY. Univariate sensitivity and multivariate probabilistic sensitivity analyses tested model uncertainty. RESULTS The DHI reduced costs and increased QALYs on average, dominating standard of care in 99.7% of simulations in the probabilistic analysis. Based on the assumption that the DHI costs $2750 per patient, use of the DHI leads to a cost-savings of $7274 per patient compared with standard of care alone. CONCLUSIONS Our results demonstrate that this DHI is cost-saving through the reduction of risk for all-cause readmission following AMI. DHIs that promote improved adherence with guideline-based health care can reduce hospital readmissions and associated costs.
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Affiliation(s)
- Vinayak Bhardwaj
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
| | - Erin M. Spaulding
- Johns Hopkins University School of Nursing, Baltimore, MD, US
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Francoise A. Marvel
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Sarah LaFave
- Johns Hopkins University School of Nursing, Baltimore, MD, US
| | - Jeffrey Yu
- Johns Hopkins Health System, Baltimore, MD, US
- Dept. of Pharmaceutical & Health Economics, School of Pharmacy, University of Southern California, Los Angeles, CA, US
| | - Daniel Mota
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Dimock Center, Baltimore, MD, US
| | | | - Pauline P. Huynh
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Rongzi Shan
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Pooja S. Yesantharao
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Matthias A. Lee
- Johns Hopkins University Whiting School of Engineering, Baltimore, MD, US
| | - William E. Yang
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Ryan Demo
- Johns Hopkins University Whiting School of Engineering, Baltimore, MD, US
| | - Jie Ding
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Jane Wang
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Helen Xun
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Lochan Shah
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Daniel Weng
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Shannon Wongvibulsin
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | | | | | | | | | - Maulik Majmudar
- Massachusetts General Hospital, Boston, MA, US
- Harvard Medical School, Boston, MA, US
| | | | - Valerie Vilarino
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University Krieger School of Arts and Sciences, Baltimore, MD, US
| | - David Lumelsky
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University Krieger School of Arts and Sciences, Baltimore, MD, US
| | | | - Jerilyn K. Allen
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Johns Hopkins University School of Nursing, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Seth S. Martin
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University Whiting School of Engineering, Baltimore, MD, US
| | - William V. Padula
- Dept. of Pharmaceutical & Health Economics, School of Pharmacy, University of Southern California, Los Angeles, CA, US
- Leonard D. Schaeffer Center for Health Economics & Policy, University of Southern California, Los Angeles, CA
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