Technology Access, Technical Assistance, and Disparities in Inpatient Portal Use

Exploring potential drivers of patient engagement with their health data through digital platforms: A scoping review

BACKGROUND

Patient engagement when providing patient access to health data results from an interaction between the available tools and individual capabilities. The recent digital advancements of the healthcare field have altered the manifestation and importance of patient engagement. However, a comprehensive assessment of what factors contribute to patient engagement remain absent. In this review article, we synthesised the most frequently discussed factors that can foster patient engagement with their health data.

METHODS

A scoping review was conducted in MEDLINE, Embase, and Google Scholar. Relevant data were synthesized within 7 layers using a thematic analysis: (1) social and demographic factors, (2) patient ability factors, (3) patient motivation factors, (4) factors related to healthcare professionals' attitudes and skills, (5) health system factors, (6) technological factors, and (7) policy factors.

RESULTS

We identified 5801 academic and 200 Gy literature records, and included 292 (4.83%) in this review. Overall, 44 factors that can affect patient engagement with their health data were extracted. We extracted 6 social and demographic factors, 6 patient ability factors, 12 patient motivation factors, 7 factors related to healthcare professionals' attitudes and skills, 4 health system factors, 6 technological factors, and 3 policy factors.

CONCLUSIONS

Improving patient engagement with their health data enables the development of patient-centered healthcare, though it can also exacerbate existing inequities. While expanding patient access to health data is an important step towards fostering shared decision-making in healthcare and subsequently empowering patients, it is important to ensure that these developments reach all sectors of the community.

Internet Access and Use by Patients with Gynecologic Malignancies: A Cross-Sectional Study

The influence of digitalization on information-seeking, decision-making properties of patients, therapy monitoring, and patient-physician interactions has and will change the global health sector tremendously. With this study, we add knowledge on the degree of digitalization, digital device availability, the use and availability of home and mobile internet access, and the willingness to use novel forms of patient-physician interactions in a group of gynecologic cancer patients. From July 2017 to March 2022, 150 women with a diagnosis of gynecologic malignancy at the University Hospital of Cologne participated in this questionnaire-based cohort study. Any one of three potential internet access devices (stationary computer, smartphone, or tablet) is owned by 94% of patients and the only patient intrinsic factor that is significantly associated with the property of any one of these internet access devices is age. The Internet is used daily or several times per week to assess information on their disease by 92.8%, 90.1% use the Internet for communicational purposes and 71.9% and 93.6% are willing to communicate with their treating physicians via E-Mail or even novel forms of communication, respectively. In conclusion, the predominant majority of gynecologic cancer patients can be reached by modern internet-based E-Health technologies.

Disparities in electronic health record portal access and use among patients with cancer

BACKGROUND

Electronic health record-linked portals may improve health-care quality for patients with cancer. Barriers to portal access and use undermine interventions that rely on portals to reduce cancer care disparities. This study examined portal access and persistence of portal use and associations with patient and structural factors before the implementation of 3 portal-based interventions within the Improving the Management of symPtoms during And following Cancer Treatment (IMPACT) Consortium.

METHODS

Portal use data were extracted from electronic health records for the 12 months preceding intervention implementation. Sociodemographic factors, mode of accessing portals (web vs mobile), and number of clinical encounters before intervention implementation were also extracted. Rurality was derived using rural-urban commuting area codes. Broadband access was estimated using the 2015-2019 American Community Survey. Multiple logistic regression models tested the associations of these factors with portal access (ever accessed or never accessed) and persistence of portal use (accessed the portal ≤20 weeks vs ≥21 weeks in the 35-week study period).

RESULTS

Of 28 942 eligible patients, 10 061 (35%) never accessed the portal. Male sex, membership in a racial and ethnic minority group, rural dwelling, not working, and limited broadband access were associated with lower odds of portal access. Younger age and more clinical encounters were associated with higher odds of portal access. Of those with portal access, 25% were persistent users. Using multiple modalities for portal access, being middle-aged, and having more clinical encounters were associated with persistent portal use.

CONCLUSION

Patient and structural factors affect portal access and use and may exacerbate disparities in electronic health record-based cancer symptom surveillance and management.

Progress and Persistent Disparities in Patient Access to Electronic Health Information

Importance

Patient access to electronic health information (EHI) available via online medical records and through patient portals has been shown to help individuals make informed health decisions, which are associated with better health outcomes.

Objective

To assess progress in patient engagement with EHI and to identify racial or ethnic disparities in access to patient portals.

Design, Setting, and Participants

This was a repeated cross-sectional study using data from the US Health Information National Trends Survey (HINTS), a nationally representative survey of US adults that tracks individuals' access and use of their health information. Six cycles of HINTS were included (2014, 2017-2020, 2022); data for the disparities analysis came from the 2022 HINTS. Data analyses were performed in April 2023.

Main Outcomes and Measures

Patient reports of (1) being offered portal access by a health care provider (HCP); (2) being encouraged by the HCP to use the portal; (3) accessing their portal; and (4) using the portal for various purposes. Additional key measures included methods used to access portals and self-reported ease of understanding information contained in the online medical records or portals.

Results

The total study population included 22 266 individuals (mean [SE] age, 49.9 [0.15] years) of whom 13 348 (54%) were female; 909 (5%) self-identified as Asian, 3523 (12%) as Black, 3178 (14%) as Hispanic, 13 555 (66%) as White, and 785 (3%) as another or more than 1 race. Nationally, patient portal access increased each year from 2014 through 2022, with a 46% increase observed between 2020 (n = 3319) and 2022 (n = 5437). However, in 2022, Black and Hispanic individuals reported being offered access to a portal by their HCP at significantly lower rates compared with White individuals (73% vs 81%; χ21 = 22.24; P < .001; and 62% vs 81%; χ21 = 135.57; P < .001, respectively) as well as accessing a patient portal at lower rates (60% vs 70%; χ21 = 23.80; P < .001; and 57% vs 70%; χ21 = 49.02; P < .001, respectively).

Conclusions and Relevance

The findings of this repeated cross-sectional study of US adult respondents to the HINTS suggest that access to and engagement with patient portals increased significantly from 2014 through 2022, but racial and ethnic disparities in patient access persisted in 2022. However, there were no significant differences in use or understanding of information available in the online medical records among those who accessed them, which suggests that efforts to promote equitable opportunities to access EHI would likely be associated with increased patient access.

Patterns of Health Portal Use by Regular Portal Users Among Patients With Cancer: Results From the UWCCC Survivorship Program

PURPOSE

We sought to evaluate the patterns of portal usage among patients with cancer who regularly log in to the portal. These data will inform approaches to facilitate portal use among patients with cancer.

PATIENTS AND METHODS

We conducted a retrospective analysis of patient portal usage by patients with cancer at the University of Wisconsin Carbone Cancer Center. Our analysis focuses on patterns of portal use by regular users (≥ 2 portal logins/year, > 3 months) receiving ongoing oncology care between January 1, 2017, and December 31, 2019. Demographics, cancer characteristics, number of oncology visits per month, and portal usage data were extracted. Regular portal users were grouped and compared on the basis of their frequency of use. A linear mixed-effects model was used to determine if the frequency of oncology visits influenced the number of logins.

RESULTS

We identified 2076 regular portal users. The median number of portal logins/year was 72 for the entire cohort. Age and race were associated with frequency of portal logins. There was no difference in frequency of portal login on the basis of cancer type or stage. Each additional oncology office visit in a month increased the frequency of portal logins by 3.05 ± 0.11 (SE) within the same month. Messages and test result functionalities were used by 98.7% and 98.9% of the regular users, respectively. Regular users who logged in to portal more frequently used all five studied portal functionalities.

CONCLUSION

Patients with cancer who use portals regularly use it more in proximity to an oncology office visit and use multiple available portal functionalities. These findings can direct strategic planning to facilitate portal utilization among those not engaged with this tool.

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

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.

Real-world implementation evaluation of an electronic health record-integrated consumer informatics tool that collects patient-generated contextual data

OBJECTIVE

Use the RE-AIM framework to examine the implementation of a patient contextual data (PCD) Tool designed to share patients' needs, values, and preferences with care teams ahead of clinical encounters.

MATERIALS & METHODS

Observational study that follows initial PCD Tool scaling across primary care at a Midwestern academic health network. Program invitations, enrollment, patient submissions, and clinician views were tracked over a 1-year study period. Logistic regression modeled the likelihood of using the PCD Tool, accounting for patient covariates.

RESULTS

Of 58,874 patients who could be contacted by email, 9,183 (15.6%) became PCD Tool users. Overall, 76% of primary care providers had patients who used the PCD Tool. Older age, female gender, non-minority race, patient portal activation, and Medicare coverage were significantly associated with increased likelihood of use. Number of office visits, medical issues, and behavioral health conditions also associated with use. Primary care staff viewed 18.7% of available PCD Tool summaries, 1.1% to 57.6% per clinic.

DISCUSSION

The intervention mainly reached non-minority patients and patients who used more health services. Given the requirement for an email address on file, some patients may have been underrepresented. Overall, patient reach and adoption and clinician adoption, implementation, and maintenance of this Tool were modest but stable, consistent with a non-directive approach to fostering adoption by introducing the Tool in the absence of clear expectations for use.

CONCLUSION

Healthcare organizations must implement effective methods to increase the reach, adoption, implementation, and maintenance of PCD tools across all patient populations. Assisting people, particularly racial minorities, with PCD Tool registration and actively supporting clinician use are critical steps in implementing technology that facilitates care.

Examining the Relationship between Health Literacy, Health Numeracy, and Patient Portal Use

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.

Improving Provisioning of an Inpatient Portal: Perspectives from Nursing Staff

BACKGROUND

 Inpatient portals are recognized to provide benefits for both patients and providers, yet the process of provisioning tablets to patients by staff has been difficult for many hospitals.

OBJECTIVE

 Our study aimed to identify and describe practices important for provisioning an inpatient portal from the perspectives of nursing staff and provide insight to enable hospitals to address challenges related to provisioning workflow for the inpatient portal accessible on a tablet.

METHODS

 Qualitative interviews were conducted with 210 nursing staff members across 26 inpatient units in six hospitals within The Ohio State University Wexner Medical Center (OSUWMC) following the introduction of tablets providing access to an inpatient portal, MyChart Bedside (MCB). Interviews asked questions focused on nursing staffs' experiences relative to MCB tablet provisioning. Verbatim interview transcripts were coded using thematic analysis to identify factors associated with tablet provisioning. Unit provisioning performance was established using data stored in the OSUWMC electronic health record about provisioning status. Provisioning rates were divided into tertiles to create three levels of provisioning performance: (1) higher; (2) average; and (3) lower.

RESULTS

 Three themes emerged as critical strategies contributing to MCB tablet provisioning success on higher-performing units: (1) establishing a feasible process for MCB provisioning; (2) having persistent unit-level MCB tablet champions; and (3) having unit managers actively promote MCB tablets. These strategies were described differently by staff from the higher-performing units when compared with characterizations of the provisioning process by staff from lower-performing units.

CONCLUSION

 As inpatient portals are recognized as a powerful tool that can increase patients' access to information and enhance their care experience, implementing the strategies we identified may help hospitals' efforts to improve provisioning and increase their patients' engagement in their health care.

Revisiting Provider Role in Patient Use of Online Medical Records

OBJECTIVES

 Provider encouragement for patient use of online medical record (OMR) systems is poorly understood. The study examines temporal trends and predictors of provider encouragement and the effects of encouragement on OMR use.

METHODS

 Health Information National Trends Survey administered in 2017 and 2020 were used. Subjects were 18 to 75 years old with access to the Internet or smart devices. From 2017 and 2020, 2,558 and 3,058 subjects were included, respectively.

RESULTS

 In 2020, 52.8% reported receiving provider encouragement within the last year for OMR use compared with 41.3% in 2017 (p < 0.001). For respondents with chronic diseases (such as diabetes, hypertension, heart, or lung diseases [CVMD]), encouragement increased from 45.5 to 57.2% (p < 0.001). Sociodemographic determinants and clinical attributes (e.g., provider office visits, cancer history, or CVMDs) significantly (p < 0.05) predicted encouragement. Among CVMD subjects, gender and visit frequency were significant predictors. OMR use within a year grew recently (73.3% in 2020 vs. 60.6% in 2017, p = 0.002) among CVMD subjects reporting encouragement. Provider encouragement was associated (p < 0.05) with secure communication and viewing results using OMRs controlling for other predictors in the overall cohort and among CVMD subjects.

CONCLUSION

 Many respondents reported not receiving provider encouragement for OMR use. These subjects represent millions of U.S. adults, including those participating during the pandemic, with CVMDs or cancer history. Encouragement rates grew over time and was associated with demographic or disease attributes and with OMR use. Future research should assess the optimality of encouragement. Resources enabling provider encouragement should continue and help prevent disparity in health technology use.

Assessing Patient Needs During Natural Disasters: Mixed Methods Analysis of Portal Messages Sent During Hurricane Harvey

BACKGROUND

Patient portals play an important role in connecting patients with their medical care team, which improves patient engagement in treatment plans, decreases unnecessary visits, and reduces costs. During natural disasters, patients' needs increase, whereas available resources, specifically access to care, become limited.

OBJECTIVE

This study aims to examine patients' health needs during a natural crisis by analyzing the electronic messages sent during Hurricane Harvey to guide future disaster planning efforts.

METHODS

We explored patient portal use data from a large Greater Houston area health care system focusing on the initial week of the Hurricane Harvey disaster, beginning with the date of landfall, August 25, 2017, to August 31, 2017. A mixed methods approach was used to assess patients' immediate health needs and concerns during the disruption of access to routine and emergent medical care. Quantitative analysis used logistic regression models to assess the predictive characteristics of patients using the portal during Hurricane Harvey. This study also included encounters by type (emergency, inpatient, observation, outpatient, and outpatient surgery) and time (before, during, and after Hurricane Harvey). For qualitative analysis, the content of these messages was examined using the constant comparative method to identify emerging themes found within the message texts.

RESULTS

Out of a total of 557,024 patients, 4079 (0.73%) sent a message during Hurricane Harvey, whereas 31,737 (5.69%) used the portal. Age, sex, race, and ethnicity were predictive factors for using the portal and sending a message during the natural disaster. We found that prior use of the patient portal increased the likelihood of portal use during Hurricane Harvey (odds ratio 13.688, 95% CI 12.929-14.491) and of sending a portal message during the disaster (odds ratio 14.172, 95% CI 11.879-16.907). Having an encounter 4 weeks before or after Hurricane Harvey was positively associated with increased use of the portal and sending a portal message. Patients with encounters during the main Hurricane Harvey week had a higher increased likelihood of portal use across all five encounter types. Qualitative themes included: access, prescription requests, medical advice (chronic conditions, acute care, urgent needs, and Hurricane Harvey-related injuries), mental health, technical difficulties, and provider constraints.

CONCLUSIONS

The patient portal can be a useful tool for communication between patients and providers to address the urgent needs and concerns of patients as a natural disaster unfolds. This was the first known study to include encounter data to understand portal use compared with care provisioning. Prior use was predictive of both portal use and message sending during Hurricane Harvey. These findings could inform the types of demands that may arise in future disaster situations and can serve as the first step in intentionally optimizing patient portal usability for emergency health care management during natural disasters.

The Impact of an Internet Use Promotion Programme on Communication, Internet Use, and the Extent of Social Networks among Low-Income Older Adults

We examined whether an internet use promotion intervention influences low-income older adults’ communication modes, internet use, and social networks using existing data collected for an intervention. Participants living in public senior housing facilities in the United States (n = 77) completed surveys before and after a 12-week computer and internet training. The six-item Lubben Social Network Scale (LSNS-6) was used to measure the extent of older adults’ social networks. The primary mode of communication shifted from more traditional means to internet-based communications (p < .0005 in a Fisher’s exact test). The frequency of internet use significantly increased (p < .00005 in a one-sided Sign test). Overall, the LSNS-6 score increased by 4.1 points (p < .00005 in a Welch’s t-test). The LSNS-6 score increase was significantly larger among African Americans than Whites, controlling for gender (p < .05 in negative binomial regression). Moderate (p < .005) and frequent internet users (p < .05) had higher LSNS-6 scores than rare internet users at posttest when gender and race were controlled for in linear regression. Comparatively more improvement in the extent of social networks among African Americans suggests greater benefits of such interventions for population groups of disadvantaged backgrounds. Larger social networks among moderate and frequent internet users than rare users suggest positive impacts of internet communications on social networks.

Patterns of Technology Use Among Patients With Head and Neck Cancer and Implications for Telehealth

OBJECTIVE

To describe baseline technology use within the head and neck cancer (HNC) population prior to the COVID-19 pandemic.

STUDY DESIGN

Cross-sectional analysis of National Health Interview Survey (NHIS) data.

SETTING

The NHIS is a survey of population health administered in person annually to a nationally representative sample of noninstitutionalized US residents via a complex clustered sampling design.

METHODS

Data regarding technology use, cancer history, and demographics were extracted from the NHIS. The study population comprised individuals who completed the NHIS Sample Adult survey from 2012 to 2018 and self-reported a cancer diagnosis. Poisson regression was used to evaluate associations between demographics and general or health-related technology use and prevalence ratios reported.

RESULTS

Patients with HNC were less likely to use general technology (computers, internet, or email) when compared with other patients with cancer (60% vs 73%, P < .001), although this difference was not statistically significant after controlling for sociodemographic factors. Among patients with HNC, older age, lower education, and lower income were negatively associated with general technology use (adjusted prevalence ratio [aPR], 0.71 [95% CI, 0.59-0.87] for age 65-79 years vs <50 years; aPR, 0.66 [95% CI, 0.51-0.85] for high school vs master; aPR, 0.66 [95% CI, 0.48-0.91] for income 100%-200% vs >400% federal poverty level). Older age and lower education were negatively associated with health-related technology use (aPR, 0.46 [95% CI, 0.32-0.67] for age 65-79 years vs <50 years; aPR, 0.47 [95% CI, 0.30-0.74] for high school vs master).

CONCLUSION

Socioeconomic disparities exist in technology use rates among patients with HNC. Access to technology may pose a barrier to telehealth visits for many patients with HNC due to the unique socioeconomic demographics of this patient population.

Evaluation of electronic health record-integrated digital health tools to engage hospitalized patients in discharge preparation

OBJECTIVE

To evaluate the effect of electronic health record (EHR)-integrated digital health tools comprised of a checklist and video on transitions-of-care outcomes for patients preparing for discharge.

MATERIALS AND METHODS

English-speaking, general medicine patients (>18 years) hospitalized at least 24 hours at an academic medical center in Boston, MA were enrolled before and after implementation. A structured checklist and video were administered on a mobile device via a patient portal or web-based survey at least 24 hours prior to anticipated discharge. Checklist responses were available for clinicians to review in real time via an EHR-integrated safety dashboard. The primary outcome was patient activation at discharge assessed by patient activation (PAM)-13. Secondary outcomes included postdischarge patient activation, hospital operational metrics, healthcare resource utilization assessed by 30-day follow-up calls and administrative data and change in patient activation from discharge to 30 days postdischarge.

RESULTS

Of 673 patients approached, 484 (71.9%) enrolled. The proportion of activated patients (PAM level 3 or 4) at discharge was nonsignificantly higher for the 234 postimplementation compared with the 245 preimplementation participants (59.8% vs 56.7%, adjusted OR 1.23 [0.38, 3.96], P = .73). Postimplementation participants reported 3.75 (3.02) concerns via the checklist. Mean length of stay was significantly higher for postimplementation compared with preimplementation participants (10.13 vs 6.21, P < .01). While there was no effect on postdischarge outcomes, there was a nonsignificant decrease in change in patient activation within participants from pre- to postimplementation (adjusted difference-in-difference of -16.1% (9.6), P = .09).

CONCLUSIONS

EHR-integrated digital health tools to prepare patients for discharge did not significantly increase patient activation and was associated with a longer length of stay. While issues uncovered by the checklist may have encouraged patients to inquire about their discharge preparedness, other factors associated with patient activation and length of stay may explain our observations. We offer insights for using PAM-13 in context of real-world health-IT implementations.

TRIAL REGISTRATION

NIH US National Library of Medicine, NCT03116074, clinicaltrials.gov.

Care Team Perspectives About an Inpatient Portal: Benefits and Challenges of Patients' Portal Use During Hospitalization

While current research about inpatient portals has focused largely on the patient perspective, it is also critical to consider the care team point of view, as support from these individuals is essential to successful portal implementation and use. We held brief in-person interviews with 433 care team members across a six-hospital health system to explore opinions about patients' use of an inpatient portal as perceived by care team members. Using the Inpatient Portal Evaluation Framework, we characterized benefits and challenges of portal use that care team members reported affected patients, themselves, and the collaborative work of these care teams with their patients. Interviewees noted inpatient portals can improve patient care and experience and also indicated room for improvement in portal use for hospitalized patients. Further understanding of the care team perspective is critical to inform approaches to inpatient portal implementation that best benefit both patients and providers.

Analysis of Employee Patient Portal Use and Electronic Health Record Access at an Academic Medical Center

BACKGROUND

Patient portals provide patients and their caregivers online access to limited health results. Health care employees with electronic health record (EHR) access may be able to view their health information not available in the patient portal by looking in the EHR.

OBJECTIVE

In this study, we examine how employees use the patient portal when they also have access to the tethered EHR.

METHODS

We obtained patient portal and EHR usage logs corresponding to all employees who viewed their health data at our institution between January 1, 2013 and November 1, 2017. We formed three cohorts based on the systems that employees used to view their health data: employees who used the patient portal only, employees who viewed health data in the EHR only, and employees who used both systems. We compared system accesses and usage patterns for each employee cohort.

RESULTS

During the study period, 35,172 employees accessed the EHR as part of patients' treatment and 28,631 employees accessed their health data: 25,193 of them used the patient portal and 13,318 accessed their clinical data in EHR. All employees who accessed their records in the EHR viewed their clinical notes at least once. Among EHR accesses, clinical note accesses comprised more than 42% of all EHR accesses. Provider messaging and appointment scheduling were the most commonly used functions in the patient portal. Employees who had access to their health data in both systems were more likely to engage with providers through portal messages.

CONCLUSION

Employees at a large medical center accessed clinical notes in the EHR to obtain information about their health. Employees also viewed other health data not readily available in the patient portal.

Helping Patients Be Better Patients: A Qualitative Study of Perceptions About Inpatient Portal Use

Introduction: As more hospitals introduce inpatient portals, it is increasingly important to understand their impact on patient experience and the care process. We conducted this study to learn from patients and care team members about their experience with an inpatient portal. Methods: We interviewed 120 patients and 433 care team members across a seven-hospital academic medical center that offers an inpatient portal to hospitalized patients. Interviewees were asked about their use of the inpatient portal and its impact on patient experience. Recorded interviews were transcribed and rigorously analyzed using both inductive and deductive methods. Results: We found that the inpatient portal was perceived to help patients be "better patients" by improving their ability to be informed about their health and by enabling them to be more involved in the care process. Care team members suggested portal use could be improved by addressing challenges with tablet administration, use of the patient education feature, and the functionality of the scheduling feature. Conclusions: Across interviewees, we found that inpatient portals were perceived to improve the hospital experience and increase empowerment for patients by offering information about care in a manner that allowed patients to join their care teams as active, participating members.

Facilitating Organizational Change to Accommodate an Inpatient Portal

BACKGROUND

Patient portals are becoming more commonly used in the hospital inpatient setting. While the potential benefits of inpatient portals are acknowledged, there is a need for research that examines the challenges of portal implementation and the development of best practice approaches for successful implementation.

OBJECTIVE

We conducted this study to improve our understanding of the impact of the implementation of an inpatient portal on care team members in the context of a large academic medical center. Our study focused on the perspectives of nursing care team members about the inpatient portal.

METHODS

We interviewed care team members (n = 437) in four phases throughout the 2 years following implementation of an inpatient portal to learn about their ongoing perspectives regarding the inpatient portal and its impact on the organization.

RESULTS

The perspectives of care team members demonstrated a change in acceptance of the inpatient portal over time in terms of buy-in, positive workflow changes, and acknowledged benefits of the portal for both care team members and patients. There were also changes over time in perspectives of the care team in regards to (1) challenges with new technology, (2) impact of the portal on workflow, and (3) buy-in. Six strategies were identified as important for implementation success: (1) convene a stakeholder group, (2) offer continual portal training, (3) encourage shared responsibility, (4) identify champions, (5) provide provisioning feedback, and (6) support patient use.

CONCLUSION

Inpatient portals are recognized as an important tool for both patients and care team members, but the implementation of such a technology can create challenges. Given the perspectives care team members had about the impact of the inpatient portal, our findings suggest implementation requires attention to organizational changes that are needed to accommodate the tool and the development of strategies that can address challenges associated with the portal.