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Walker DM, Hefner JL, MacEwan SR, Di Tosto G, Sova LN, Gaughan AA, Huerta TR, McAlearney AS. Differences by Race in Outcomes of an In-Person Training Intervention on Use of an Inpatient Portal: A Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open 2024; 7:e245091. [PMID: 38573634 PMCID: PMC11192182 DOI: 10.1001/jamanetworkopen.2024.5091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 02/06/2024] [Indexed: 04/05/2024] Open
Abstract
Importance Differences in patient use of health information technologies by race can adversely impact equitable access to health care services. While this digital divide is well documented, there is limited evidence of how health care systems have used interventions to narrow the gap. Objective To compare differences in the effectiveness of patient training and portal functionality interventions implemented to increase portal use among racial groups. Design, Setting, and Participants This secondary analysis used data from a randomized clinical trial conducted from December 15, 2016, to August 31, 2019. Data were from a single health care system and included 6 noncancer hospitals. Participants were 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. Data were analyzed from September 1, 2022, to October 31, 2023. Interventions A 2 × 2 factorial design was used to compare the inpatient portal training intervention (touch, in-person [high] vs built-in video tutorial [low]) and the portal functionality intervention (technology, full functionality [full] vs a limited subset of functions [lite]). Main Outcomes and Measures Primary outcomes were inpatient portal use, measured by frequency and comprehensiveness of use, and use of specific portal functions. A logistic regression model was used to test the association of the estimators with the comprehensiveness use measure. Outcomes are reported as incidence rate ratios (IRRs) for the frequency outcomes or odds ratios (ORs) for the comprehensiveness outcomes with corresponding 95% CIs. Results Of 2892 participants, 550 (19.0%) were Black individuals, 2221 (76.8%) were White individuals, and 121 (4.2%) were categorized as other race (including African, American Indian or Alaska Native, Asian or Asian American, multiple races or ethnicities, and unknown race or ethnicity). Black participants had a significantly lower frequency (IRR, 0.80 [95% CI, 0.72-0.89]) of inpatient portal use compared with White participants. Interaction effects were not observed between technology, touch, and race. Among participants who received the full technology intervention, Black participants had lower odds of being comprehensive users (OR, 0.76 [95% CI, 0.62-0.91), but interaction effects were not observed between touch and race. Conclusions and Relevance In this study, providing in-person training or robust portal functionality did not narrow the divide between Black participants and White participants with respect to their inpatient portal use. Health systems looking to narrow the digital divide may need to consider intentional interventions that address underlying issues contributing to this inequity. Trial Registration ClinicalTrials.gov Identifier: NCT02943109.
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Affiliation(s)
- Daniel M. Walker
- Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus
| | - Jennifer L. Hefner
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus
| | - Sarah R. MacEwan
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus
- Division of General Internal Medicine, College of Medicine, The Ohio State University, Columbus
| | - Gennaro Di Tosto
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus
| | - Lindsey N. Sova
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus
| | - Alice A. Gaughan
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, 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
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus
| | - Ann Scheck McAlearney
- Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus
- CATALYST, The Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus
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Brewster RC, Zhang J, Stewart M, Kaur R, Arellano M, Bourgeois F. A Prescription for Internet: Feasibility of a Tablet Loaner Program to Address Digital Health Inequities. Appl Clin Inform 2023; 14:273-278. [PMID: 36669761 PMCID: PMC10097475 DOI: 10.1055/a-2016-7417] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/17/2023] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE The coronavirus disease 2019 pandemic accelerated the adoption of telehealth technologies. Persistent disparities in telecommunication devices, internet connectivity, and digital literacy, however, undermine the potential for telemedicine to reduce barriers to health care access. Health systems may have a role in addressing these structural inequities. We describe the operationalization and feasibility of an internet-enabled tablet loaner program at a freestanding children's hospital. METHODS Between October 2020 and October 2021, pediatricians enrolled families through ambulatory clinics at an academic urban freestanding children's hospital. Eligibility criteria included difficulty accessing virtual care due to lack of stable internet or device. Tablets featured an unlimited data package, access to the patient portal, and virtual visit platform. A private technology company managed device configuration and distribution. To characterize program impact, we compared the proportion of completed clinical encounters during the intervention compared with a preintervention period (March 2020-October 2020) and conducted a qualitative survey with program participants. Participant and visit characteristics were obtained from the electronic medical record and summarized with descriptive statistics. RESULTS A total of 111 families participated in the tablet loaner program, the majority of whom were Hispanic (51.4%) and black, non-Hispanic (26.1%), and publicly insured (64.9%). Between the preintervention and intervention periods, there was a significant increase in completed video- and phone-based virtual visits (75.3 vs. 79.1%, p = 0.038). The proportion of video-based only visits increased from 82.9 to 88.9%. p < 0.001. Families reported that the tablet improved the patient's ability to receive medical care (93.7%) and was easy to use (93.9%). CONCLUSION The tablet loaner initiative was associated with an improvement in markers of virtual visit engagement and health care experience. Efforts to expand telemedicine equity must consider technological access and digital literacy as well as broad coalitions across industry, government, and community organizations.
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Affiliation(s)
- Ryan C.L. Brewster
- Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States
- Department of Pediatrics, Boston Medical Center Boston, Massachusetts, United States
| | - Jessica Zhang
- Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, Massachusetts, United States
| | - Melissa Stewart
- Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, Massachusetts, United States
| | - Ravneet Kaur
- Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, Massachusetts, United States
| | - Marlíse Arellano
- Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, Massachusetts, United States
| | - Fabienne Bourgeois
- Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, 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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Di Tosto G, Walker DM, Sieck CJ, Wallace L, MacEwan SR, Gregory ME, Scarborough S, Huerta TR, McAlearney AS. Examining the Relationship between Health Literacy, Health Numeracy, and Patient Portal Use. Appl Clin Inform 2022; 13:692-699. [PMID: 35793698 DOI: 10.1055/s-0042-1751239] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
OBJECTIVES The objective of this study is to investigate the relationships between health literacy and numeracy (HLN) and patient portal use, measured in inpatient and outpatient settings. METHODS Using data collected as part of a pragmatic randomized controlled trial conducted across the inpatient population of a U.S.-based academic medical center, the present study evaluated the relationships between patients' perceptions of health literacy and their skills, interpreting medical information with metrics of engagement with patient portals. RESULTS Self-reported levels of HLN for patients in the study sample (n = 654) were not significantly associated with inpatient portal use as measured by frequency of use or the number of different inpatient portal functions used. Use of the outpatient version of the portal over the course of 6 months following hospital discharge was also not associated with HLN. A subsequent assessment of patients after 6 months of portal use postdischarge (response rate 40%) did not reveal any differences with respect to portal use and health numeracy; however, a significant increase in self-reported levels of health literacy was found at this point. CONCLUSION While previous studies have suggested that low HLN might represent a barrier to inpatient portal adoption and might limit engagement with outpatient portals, we did not find these associations to hold. Our findings, however, suggest that the inpatient setting may be effective in facilitating technology acceptance. Specifically, the introduction of an inpatient portal made available on hospital-provided tablets may have practical implications and contribute to increased adoption of patient-facing health information technology tools.
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Affiliation(s)
- Gennaro Di Tosto
- CATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, Ohio, United States
| | - Daniel M Walker
- CATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, Ohio, United States.,Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States
| | - Cynthia J Sieck
- Center for Health Equity, Dayton Children's Hospital, Dayton, Ohio, United States
| | - Lorraine Wallace
- Department of Biomedical Education and Anatomy, College of Medicine, The Ohio State University, Columbus, Ohio, United States
| | - Sarah R MacEwan
- CATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, Ohio, United States.,Division of General Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States
| | - Megan E Gregory
- CATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, Ohio, United States.,Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, United States
| | - Seth Scarborough
- CATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, Ohio, United States
| | - Timothy R Huerta
- CATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, Ohio, United States.,Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States.,Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, United States
| | - Ann Scheck McAlearney
- CATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, Ohio, United States.,Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States
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