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Park J, Guo S, Liang M, Zhong X. Investigation of the causal relationship between patient portal utilization and patient's self-care self-efficacy and satisfaction in care among patients with cancer. BMC Med Inform Decis Mak 2025; 25:12. [PMID: 39780146 PMCID: PMC11716468 DOI: 10.1186/s12911-024-02837-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 12/23/2024] [Indexed: 01/11/2025] Open
Abstract
OBJECTIVE The objective of this study was to examine the causal relationship between the usage of patient portals and patients' self-care self-efficacy and satisfaction in care outcomes in the context of cancer care. METHODS The National Institute's HINTS 5 Cycle 1-4 (2017-2020) data were used to perform a secondary data analysis. Patients who reported being ever diagnosed with cancer were included in the study population. Their portal usage frequency was considered as an intervention. Patient's self-care self-efficacy and satisfaction in care were the primary outcomes considered and they were measured by survey respondents' self-reported information. A set of conditional independence tests based on the causal diagram was developed to examine the causal relationship between patient portal usage and the targeted outcomes. RESULTS A total of 2579 were identified as patients with cancer or cancer survivors. We identified patient portals' impact on strengthening patients' ability to take care of their own health (P = .02, for the test rejecting which is necessary for the expected causal relationship, ie, the portal usage impacts the target outcome; P = .06, for the test rejecting which is necessary for the reverse causal relationship), and we identified heterogenous causal relationships between frequent patient portal usage and patients' perceived quality of care (P = .04 and P = .001, for the tests rejecting both suggests heterogeneous causal relationships). We could not conclusively determine the causal relationship between patient portal usage and patients' confidence in getting advice or information about health or cancer care related topics (P > .05 for both tests, suggesting inconclusive causal directions). CONCLUSIONS The results advocate patient portals and promote the need to provide better support and education to patients. The proposed statistical method exploits the potential of national survey data for causal inference studies.
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Affiliation(s)
- Jaeyoung Park
- School of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA
| | - Shilin Guo
- Department of Industrial Engineering and Operations Research, Columbia University, New York City, NY, USA
| | - Muxuan Liang
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Xiang Zhong
- Department of Industrial and Systems Engineering, University of Florida, 482 Weil Hall, PO BOX 116595, Gainesville, FL, 32611-6595, USA.
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Kouzy R, Bitterman DS. Improving Patient Engagement: Is There a Role for Large Language Models? Int J Radiat Oncol Biol Phys 2024; 120:639-641. [PMID: 39326949 DOI: 10.1016/j.ijrobp.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 06/09/2024] [Indexed: 09/28/2024]
Affiliation(s)
- Ramez Kouzy
- Department of Radiation Oncology, The UT-MD Anderson Cancer Center, Houston, Texas
| | - Danielle S Bitterman
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Massachusetts.
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Sriraman S, Saadoon R, Bochner R, Khandakar S. Improving Patient Portal Activation for Newborns in the Well Baby Nursery. Pediatrics 2024; 154:e2023063274. [PMID: 38867690 DOI: 10.1542/peds.2023-063274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 02/27/2024] [Accepted: 03/11/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Patient portals provide parents access to their child's health information and direct communication with providers. Our study aimed to improve portal activation rates of newborns during nursery hospitalization to >70% over 6 months. Secondarily, we describe the facilitators and barriers to portal use. METHODS The study design used a mixed-methodology framework of quality improvement (QI) and cross-sectional analyses. The Model for Improvement guided QI efforts. The primary outcome was the proportion of portals activated for newborns during nursery hospitalization. Interventions included portal activation algorithm, staff huddles, and documentation templates. Telephone interviews were conducted with a randomized sample of mothers of infants who activated the portal. These mothers were divided into portal "users" and "nonusers." We examined sociodemographic variables and health care utilization outcomes in the 2 groups. RESULTS Portal activation increased from 12.9% to 85.4% after interventions. Among 482 mothers with active portals, 127 (26.3%) were interviewed. Of those, 70% (89 of 127) reported using the portal, and 85.4% (76 of 89) found it useful. Reasons for accessing the portal included checking appointments and reviewing test results. Lack of knowledge of portal functionality was the main barrier to portal use (42.1%). Portal users were less likely to have a no-show to primary care appointments compared with nonusers (44.9% versus 78.9%, P < .001). CONCLUSIONS Portal activation rates increased after QI interventions in the nursery. Most parents accessed the portal and found it useful. Portals can improve health care delivery and patient engagement in the newborn period.
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Affiliation(s)
- Sheetal Sriraman
- Department of Pediatrics, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, New York
- Department of Pediatrics, New York City Health and Hospital, Kings County, Brooklyn, New York
| | - Reem Saadoon
- Department of Pediatrics, University of Illinois College of Medicine at Peoria, Peoria, Illinois
| | - Risa Bochner
- Department of Pediatrics, New York City Health and Hospital, Harlem, New York, New York
| | - Saema Khandakar
- Department of Pediatrics, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, New York
- Department of Pediatrics, New York City Health and Hospital, Kings County, Brooklyn, New York
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Hall A, Devlin S, Won J, Schmitt J, P Ridgway J. Electronic Patient Portal Use Among People Living With HIV. J Med Internet Res 2023; 25:e47740. [PMID: 37988161 DOI: 10.2196/47740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 08/11/2023] [Accepted: 10/27/2023] [Indexed: 11/22/2023] Open
Affiliation(s)
- André Hall
- Section of Infectious Diseases, Department of Medicine, University of Chicago, Chicago, IL, United States
| | - Samantha Devlin
- Section of Infectious Diseases, Department of Medicine, University of Chicago, Chicago, IL, United States
| | - Joshua Won
- Section of Infectious Diseases, Department of Medicine, University of Chicago, Chicago, IL, United States
| | - Jessica Schmitt
- Section of Infectious Diseases, Department of Medicine, University of Chicago, Chicago, IL, United States
| | - Jessica P Ridgway
- Section of Infectious Diseases, Department of Medicine, University of Chicago, Chicago, IL, United States
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McAlearney AS, Walker DM, Sieck CJ, Fareed N, MacEwan SR, Hefner JL, Di Tosto G, Gaughan A, Sova LN, Rush LJ, Moffatt-Bruce S, Rizer MK, Huerta TR. Effect of In-Person vs Video Training and Access to All Functions vs a Limited Subset of Functions on Portal Use Among Inpatients: A Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2231321. [PMID: 36098967 PMCID: PMC9471980 DOI: 10.1001/jamanetworkopen.2022.31321] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/22/2022] [Indexed: 11/14/2022] Open
Abstract
Importance Inpatient portals provide patients with clinical data and information about their care and have the potential to influence patient engagement and experience. Although significant resources have been devoted to implementing these portals, evaluation of their effects has been limited. Objective To assess the effects of patient training and portal functionality on use of an inpatient portal and on patient satisfaction and involvement with care. Design, Setting, and Participants This randomized clinical trial was conducted from December 15, 2016, to August 31, 2019, at 6 noncancer hospitals that were part of a single health care system. Patients who were at least 18 years of age, identified English as their preferred language, were not involuntarily confined or detained, and agreed to be provided a tablet to access the inpatient portal during their stay were eligible for participation. Data were analyzed from May 1, 2019, to March 15, 2021. Interventions A 2 × 2 factorial intervention design was used to compare 2 levels of a training intervention (touch intervention, consisting of in-person training vs built-in video tutorial) and 2 levels of portal function availability (tech intervention) within an inpatient portal (all functions operational vs a limited subset of functions). Main Outcomes and Measures The primary outcomes were inpatient portal use, measured by frequency and comprehensiveness of use, and patients' satisfaction and involvement with their care. Results Of 2892 participants, 1641 were women (56.7%) with a median age of 47.0 (95% CI, 46.0-48.0) years. Most patients were White (2221 [76.8%]). The median Charlson Comorbidity Index was 1 (95% CI, 1-1) and the median length of stay was 6 (95% CI, 6-7) days. Notably, the in-person training intervention was found to significantly increase inpatient portal use (incidence rate ratio, 1.34 [95% CI, 1.25-1.44]) compared with the video tutorial. Patients who received in-person training had significantly higher odds of being comprehensive portal users than those who received the video tutorial (odds ratio, 20.75 [95% CI, 16.49-26.10]). Among patients who received the full-tech intervention, those who also received the in-person intervention used the portal more frequently (incidence rate ratio, 1.36 [95% CI, 1.25-1.48]) and more comprehensively (odds ratio, 22.52; [95% CI, 17.13-29.62]) than those who received the video tutorial. Patients who received in-person training had higher odds (OR, 2.01 [95% CI, 1.16-3.50]) of reporting being satisfied in the 6-month postdischarge survey. Similarly, patients who received the full-tech intervention had higher odds (OR, 2.06 [95%CI, 1.42-2.99]) of reporting being satisfied in the 6-month postdischarge survey. Conclusions and Relevance Providing in-person training or robust portal functionality increased inpatient engagement with the portal during the hospital stay. The effects of the training intervention suggest that providing personalized training to support use of this health information technology can be a powerful approach to increase patient engagement via portals. Trial Registration ClinicalTrials.gov Identifier: NCT02943109.
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Affiliation(s)
- Ann Scheck McAlearney
- Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
| | - Daniel M. Walker
- Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
| | - Cynthia J. Sieck
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
- Dayton Children’s Hospital Center for Health Equity, Dayton, Ohio
| | - Naleef Fareed
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus
| | - Sarah R. MacEwan
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
- Division of General Internal Medicine, College of Medicine, The Ohio State University, Columbus
| | - Jennifer L. Hefner
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus
| | - Gennaro Di Tosto
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
| | - Alice Gaughan
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
| | - Lindsey N. Sova
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
| | - Laura J. Rush
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
| | | | - Milisa K. Rizer
- Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus
| | - Timothy R. Huerta
- Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus
- Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus
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