Acute Care Patient Portal Intervention: Portal Use and Patient Activation

Reducing decisional conflict in decisions about prenatal genetic testing: the impact of a dyadic intervention at the start of prenatal care

OBJECTIVES

Decisional conflict and regret about prenatal genetic screening and diagnostic tests may have important consequences in the current pregnancy and for future reproductive decisions. Identifying mechanisms that reduce conflict associated with the decision to use or decline these options is necessary for optimal patient counseling.

METHODS

We conducted a cluster-randomized controlled trial of a shared decision-making tool (NEST) at the beginning of prenatal care. Enrolled patients completed follow-up surveys at the time of testing (QTT) and in the second-third trimester (QFF), including the Decision Conflict Scale (DCS). Total DCS scores were analyzed using a multivariate linear mixed-effect model.

RESULTS

Of the total number of participants (n=502) enrolled, 449 completed the QTT and QFF surveys. The mean age of participants was 31.6±3.8, with most parous at the time of study participation (n=321; 71.7 %). Both the NEST (the intervention) and control groups had lower median total DCS scores at QFF (NEST 13.3 [1.7, 25.0] vs. control 16.7 [1.7, 25.0]; p=0.24) compared to QTT (NEST 20.8 [5.0, 25.0] vs. control 18.3 [3.3, 26.7]; p=0.89). Participants exposed to NEST had lower decisional conflict at QFF compared to control (β -3.889; [CI -7.341, -0.437]; p=0.027).

CONCLUSIONS

Using a shared decision-making tool at the start of prenatal care decreased decisional conflict regarding prenatal genetic testing. Such interventions have the potential to provide an important form of decision-making support for patients facing the unique type of complex and preference-based choices about the use of prenatal genetic tests.

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.

Patient portal registration and healthcare utilisation in general practices in England: a longitudinal cohort study

BACKGROUND

Patient portals introduced in most of England's general practices since 2015 have the potential to improve healthcare efficiency. There is a paucity of information on the use of patient portals within the NHS general practices and the potential impact on healthcare utilisation.

AIM

To investigate the association between patient portal registration and care utilisation (measured by the number of general practice consultations) among general practice patients.

DESIGN & SETTING

A longitudinal analysis using electronic health record data from the Clinical Practice Research Datalink (CPRD).

METHOD

We analysed patients registered for patient portals (n = 284 666), aggregating their consultations 1 year before and 1 year after registration. We ran a multilevel negative binomial regression model to examine patient portal registration's association with face-to-face and remote consultations.

RESULTS

Patients who registered to the portal had a small decrease in the total number of face-to-face consultations after registering to the patient portal (incidence rate ratio = 0.93, 95% confidence interval [CI] = 0.93 to 0.94). Patients who registered to the portal had an increase in the total number of remote consultations after registering to the portal (incidence rate ratio = 1.16, 95% CI = 1.15 to 1.18).

CONCLUSION

The study found minor changes in consultation numbers post-patient portal registration, notably with an increase in remote consultations. While causality between portal registration and consultation number remains unclear, the potential link between patient portal use and healthcare utilisation warrants further investigation, especially within the NHS, where portal impacts are not well-studied. Detailed portal utilisation data could clarify this relationship.

Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality

BACKGROUND

Mobile apps facilitate patients' access to portals and interaction with their healthcare providers. The COVID-19 pandemic accelerated this trend globally, but little evidence exists on patient portal usage in the Middle East, where internet access and digital literacy are limited. Our study aimed to explore how users utilize a patient portal through its related mobile app (MyChart by EPIC).

METHODS

We conducted a cross-sectional survey of MyChart users, recruited from a tertiary care center in Lebanon. We collected MyChart usage patterns, perceived outcomes, and app quality, based on the Mobile Application Rating Scale (user version, uMARS), and sociodemographic factors. We examined associations between app usage, app quality, and sociodemographic factors using Pearson's correlations, Chi-square, ANOVA, and t-tests.

RESULTS

428 users completed the survey; they were primarily female (63%), aged 41.3 ± 15.6 years, with a higher education level (87%) and a relatively high crowding index of 1.4 ± 0.6. Most of the sample was in good and very good health (78%) and had no chronic illnesses (67%), and accessed the portal through MyChart once a month or less (76%). The most frequently used features were accessing health records (98%), scheduling appointments (67%), and messaging physicians (56%). According to uMARS completers (n = 200), the objective quality score was 3.8 ± 0.5, and the subjective quality was 3.6 ± 0.7. No significant association was found between overall app usage and the mobile app quality measured via uMARS. Moreover, app use frequency was negatively associated with education, socioeconomic status, and perceived health status. On the other hand, app use was positively related to having chronic conditions, the number of physician visits and subjective app quality.

CONCLUSION

The patient portal usage was not associated with app quality but with some of the participants' demographic factors. The app offers a user-friendly, good-quality interface to patient health records and physicians, appreciated chiefly by users with relatively low socioeconomic status and education. While this is encouraging, more research is needed to capture the usage patterns and perceptions of male patients and those with even lower education and socioeconomic status, to make patient portals more inclusive.

Conceptual Framework for Integrating Family Caregivers Into the Health Care Team: A Scoping Review

More than 80% of family care partners of older adults are responsible for coordinating care between and among providers; yet, their inclusion in the health care delivery process lacks recognition, coordination, and standardization. Despite efforts to include care partners (e.g., through informal or formal proxy access to their care recipient's patient portal), policies and procedures around care partner inclusion are complex and inconsistently implemented. We conducted a scoping review of peer-reviewed articles published from 2015 to 2021 and reviewed a final sample of 45 U.S.-based studies. Few articles specifically examine the inclusion of care partners in health care teams; those that do, do not define or measure care partner inclusion in a standardized way. Efforts to consider care partners as "partners" rather than "visitors" require further consideration of how to build health care teams inclusive of care partners. Incentives for health care organizations and providers to practice inclusive team-building may be required.

Validation of the PAM-13 instrument in the Hungarian general population 40 years old and above

BACKGROUND

Patient activation comprises the skills, knowledge and motivation necessary for patients' effective contribution to their care. We adapted and validated the 13-item Patient Activation Measure (PAM-13) in the ≥ 40 years old Hungarian general population.

METHODS

A cross-sectional web survey was conducted among 900 respondents selected from an online panel via quota sampling. After 10 days, the survey was repeated on 100 respondents. The distribution, internal consistency, test-retest reliability, factor structure, convergent, discriminant and known-groups validity of PAM-13 were assessed according to the COSMIN guidelines.

RESULTS

The sample comprised 779 respondents. Mean (± SD) age was 60.4 ± 10.6 years, 54% were female and 67% had chronic illness. Mean (± SD) PAM-13 score was 60.6 ± 10.0. We found good internal consistency (Cronbach alpha: 0.77), moderate test-retest reliability (ICC: 0.62; n = 75), a single-factor structure and good content validity: PAM-13 showed moderate correlation with the eHealth Literacy Scale (r = 0.40), and no correlation with age (r = 0.02), education (r = 0.04) or income (ρ = 0.04). Higher PAM-13 scores were associated with fewer lifestyle risks (p < 0.001), more frequent health information seeking (p < 0.001), participation in patient education (p = 0.018) and various online health-related behaviours. When controlling for health literacy, sociodemographic factors and health status, the association of higher PAM-13 scores with overall fewer lifestyle risks, normal body mass index, physical activity and adequate diet remained significant. Similar properties were observed in the subgroup of participants with chronic morbidity, but not in the age group 65+.

CONCLUSION

PAM-13 demonstrated good validity in the general population. Its properties in clinical populations and the elderly as well as responsiveness to interventions warrant further research.

Health Literacy and Patient Activation in the Pediatric to Adult Transition in Systemic Lupus Erythematosus: Patient and Health Care Team Perspectives

Objective

Methods

Results

Conclusion

Impact of Patient Portal Messaging Reminders with Self-Scheduling Option on Influenza Vaccination Rates: a Prospective, Randomized Trial

BACKGROUND

Patient portal messages have been used in a variety of ways to facilitate improved communication between provider and patient. These platforms have shown promise in many ways for improving various health outcomes and overall communication between patient and provider.

OBJECTIVE

Assess the impact of automated portal reminder messages and self-scheduling options on increasing rates of annual influenza vaccination.

DESIGN

This is a prospective, randomized, controlled study.

PARTICIPANTS

All patients who receive their primary care through an ambulatory primary care clinic at a large, multidisciplinary, academic health center.

INTERVENTIONS

One group of patients received a portal message reminder to undergo influenza vaccination. A second group received the same message with instructions to self-schedule the vaccination appointment. A third group received no portal message (control).

MAIN MEASURES

Rates of influenza vaccination in each group for previously unvaccinated patients in the 2019-2020 influenza season.

KEY RESULTS

For the group receiving the message with self-scheduling option (n=5408), the in-study vaccination rate was significantly greater than the group receiving no message (n=5621) (15.7% vs. 13.5%; p=0.002). For the group receiving a message alone (without self-scheduling) (n=5699), the in-study vaccination rate was significantly greater than the group receiving no message (15.1% vs. 13.5%; p=0.01). There was no significant difference in vaccination rate between the two intervention groups receiving messages (15.7% vs. 15.1%; p=0.549).

CONCLUSIONS

Portal messaging reminders increase annual influenza vaccination rates, but the addition of a self-scheduling option did not further increase rates.

KEY WORDS

vaccination patient portal messaging influenza.

Engaging Patients in the Use of Real-Time Electronic Clinical Data to Improve the Safety and Reliability of Their Own Care

OBJECTIVES

There is considerable evidence that providing patients with access to their health information is beneficial, but there is limited evidence regarding the effect of providing real-time patient safety-related information on health outcomes. The aim of this study was to evaluate the association between use of an electronic patient safety dashboard (Safety Advisor) and health outcomes.

METHODS

The Safety Advisor was implemented in 6 adult medicine units at one hospital in the United States. Study participants were asked to use the Safety Advisor, which provides real-time patient safety-related information through a Web-based portal. The primary outcome was the association between the application usage and health outcomes (readmission rate and mortality rate) per 3 different usage groups, and the secondary outcome was the association of Patient Activation Measure (PAM) scores with use.

RESULTS

One hundred eighty-one participants were included for the data analysis. Approximately 90% of users accessed the application during the first 4 days of enrollment: 51.6% of users only accessed it on 1 day, whereas 5.8% used it more than 3 days. Patients who used the application more had lower 30-day readmission rates (P = 0.01) compared with the lower-usage group. The PAM scores for users of Safety Advisor (71.8) were higher than the nonpatient portal users (60.8, P < 0.0001).

CONCLUSIONS

We found an association between the use of Safety Advisor and health outcomes. Differences in PAM scores between groups were statistically significant. A larger-scale randomized control trial is warranted to evaluate the impact on patient outcomes among a high-risk patient population.

Implementation of a nurse-led multimedia intervention to increase patient participation in recovery following knee arthroplasty: Implementation study (Preprint)

Background

Advances in digital technology and the use of multimedia platforms to deliver information provide clinicians with a unique opportunity to develop innovative ways to consistently provide high-quality, accessible, and evidence-based information to support patient participation. Introducing new technologies into everyday acute care clinical practice can be difficult.

Objective

The aim of this paper was to provide a description of an implementation strategy and the subsequent evaluation undertaken to examine the contextual factors important to the successful adoption of new technology by nurses in the context of acute postoperative care.

Methods

Implementation of the intervention and process evaluation was undertaken in 3 phases: phase 1, preimplementation stakeholder engagement and identification of barriers and enablers to implementation; phase 2, supported implementation of the intervention; and phase 3, evaluation of uptake, usability, and acceptability of the intervention in clinical practice.

Results

The outcomes of the implementation of the multimedia intervention in the context of acute postoperative care were positive. Of the 104 patients in the intervention group, 103 (99%) received the intervention. All 103 patients completed the 8-item intervention questionnaire and 93.3% (97/103) were interviewed on day 3 to evaluate usability, uptake, and acceptability. Of these 97 patients, almost all (n=94, 91%) found the program easy to use and most (n=64, 62%) could view the MyStay Total Knee Replacement program as often as they wanted. The findings also suggest that the time to implement the program was minimal (5-10 minutes). Collaboration with nurses and patients before and during implementation to identify potential barriers to successful implementation of the intervention was essential to develop timely strategies to overcome these barriers. To ensure end-user engagement, careful consideration was given to nurses’ views on who was responsible for facilitating this intervention.

Conclusions

The findings provide evidence that the structured implementation of the multimedia intervention was robust and successful in terms of patient participant recruitment and application; however, it was difficult to assess the level of engagement by nurse clinicians with the program.

Trial Registration

Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12614000340639; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12614000340639

Unique Patient-Reported Hospital Safety Concerns With Online Tool: MySafeCare

BACKGROUND

Hospitalized patients and their care partners have valuable and unique perspectives of the medical care they receive. Direct and real-time reporting of patients' safety concerns, though limited in the acute care setting, could provide opportunities to improve patient care.

METHODS

We implemented the MySafeCare (MSC) application on six acute care units for 18 months as part of a patient-centered health information technology intervention to promote engagement and safety in the acute care setting. The web-based application allowed hospitalized patients to submit safety concerns anonymously and in real time. We describe characteristics of patient submissions including their categorizations. We evaluated rates of submissions to MSC and compared them with rates of submissions to the Patient Family Relations department at the hospital. In addition, we performed thematic analysis of narrative concerns submitted to the application.

RESULTS

We received 46 submissions to MSC and 33% of concerns received were anonymous. The overall rate of submissions was 0.6 submissions per 1000 patient-days and was considerably lower than the rate of submissions to the Patient Family Relations during the same period (4.1 per 1000 patient-days). Identified themes of narrative concerns included unmet care needs and preferences, inadequate communication, and concerns about safety of care.

CONCLUSIONS

Although the submission rate to the application was low, MSC captured important content directly from hospitalized patients or their care partners. A web-based patient safety reporting tool for patients should be studied further to understand patient and care partner use and willingness to engage, as well as potential effects on patient safety outcomes.

Stopping the revolving door: An exploratory analysis of health care super-utilization in gynecologic oncology

The objective of this study was to determine the prevalence of and risk factors for health care super-utilization among gynecologic oncology patients at a single academic hospital. A retrospective cohort study of gynecologic oncology patients with an index unplanned encounter between January and December 2018 was performed. Super-utilizers were defined as patients with 3 or more unplanned hospital encounters during a 12-month period starting at the time of the index unplanned encounter. We identified 553 patients with gynecologic cancer. Of those, 37(7%) met inclusion criteria for super-utilizers accounting for 193/310(62%) of unplanned visits. The median number of unplanned visits was 4 (range 3-24). The most common cancers were uterine (N = 15 (41%)) and ovarian (N = 11 (30%)). Nineteen (51%) super-utilizers had advanced stage disease. Phases of oncologic care at index unplanned encounter included primary diagnosis (N = 24 (65%)), recurrence (N = 10 (27%)), and surveillance (N = 2 (5%)). Twelve super-utilizers (32%) had new diagnoses of cancer without prior therapy, 19(51%) had prior chemotherapy, 17(46%) had prior surgery, and 10(27%) had prior radiation therapy at the time of initial encounter. Fifteen super-utilizers (41%) were in the last year of life. The most common reasons for unplanned encounters were pain (66%) and gastrointestinal symptoms (61%). Multivariable analysis adjusting for key variables demonstrated that Medicaid insurance, ASA classification, and disease status are risk factors for health care super-utilization. The majority of health care utilization occurred during the first year of diagnosis. This exploratory analysis suggests an opportunity to decrease health care utilization, particularly during upfront treatment.

The Role of Computer Skills in Personal Health Record Adoption Among Patients With Heart Disease: Multidimensional Evaluation of Users Versus Nonusers

Background

In the era of precision medicine, it is critical for health communication efforts to prioritize personal health record (PHR) adoption.

Objective

The objective of this study was to describe the characteristics of patients with heart disease that choose to adopt a PHR.

Methods

A total of 79 patients with chronic cardiovascular disease participated in this study: 48 PHR users and 31 nonusers. They completed 5 surveys related to their choice to use or not use the PHR: demographics, patient activation, medication adherence, health literacy, and computer self-efficacy (CSE).

Results

There was a significant difference between users and nonusers in the sociodemographic measure education (P=.04). There was no significant difference between users and nonusers in other sociodemographic measures: age (P=.20), sex (P=.35), ethnicity (P=.43), race (P=.42), and employment (P=.63). There was a significant difference between PHR users and PHR nonusers in CSE (P=.006).

Conclusions

In this study, we demonstrate that sociodemographic characteristics were not an important factor in patients’ use of their PHR, except for education. This study had a small sample size and may not have been large enough to detect differences between groups. Our results did demonstrate that there is a difference between PHR users and nonusers related to their CSE. This work suggests that incorporating CSE into the design of PHRs is critical. The design of patient-facing tools must take into account patients’ preferences and abilities when developing effective user-friendly health information technologies.

Supporting communication of visit information to informal caregivers: A systematic review

Importance

When caregivers cannot attend the clinic visit for the person they provide care for, patients are the predominant source of clinic visit information; however, poor patient recall inhibits the quality of information shared, resulting in poor caregiver preparedness and contributing to caregiver morbidity. Technological solutions exist to sharing clinic visit information, but their effectiveness is unclear.

Objectives

To assess if and how technology is being used to connect informal caregivers to patient clinic visit information when they cannot otherwise attend, and its impact on caregiver and patient outcomes.

Evidence review

MEDLINE, Cochrane, Scopus, and CINAHL were searched through 5/3/2020 with no language restrictions or limits. ClinicalTrials.gov and other reference lists were included in the search. Randomized controlled trials (RCTs) and nonrandomized trials that involved using a technological medium e.g., video or the electronic health record, to communicate visit information to a non-attending caregiver were included. Data were collected and screened using a standardized data collection form. Cochrane’s Risk of Bias 2.0 and the Newcastle-Ottawa Scale were used for RCTs and nonrandomized trials, respectively. All data were abstracted by two independent reviewers, with disagreements resolved by a third reviewer.

Findings

Of 2115 studies identified in the search, four met criteria for inclusion. Two studies were randomized controlled trials and two were nonrandomized trials. All four studies found positive effects of their intervention on caregiver outcomes of interest, and three out of four studies found statistically significant improvements in key outcomes for caregivers receiving visit information. Improved outcomes included caregiver happiness, caregiver activation, caregiver preparedness, and caregiver confidence in managing patient health.

Conclusions and relevance

Our review suggests that using technology to give a caregiver access to clinical visit information could be beneficial to various caregiver outcomes. There is an urgent need to address the lack of research in this area.

Development of an Instrument for Assessing the Maturity of Citizens for Consumer Health Informatics in Developing Countries: The Case of Chile, Ghana, and Kosovo

OBJECTIVE

 We aimed to develop a survey instrument to assess the maturity level of consumer health informatics (ConsHI) in low-middle income countries (LMIC).

METHODS

 We deduced items from unified theory of acceptance and use of technology (UTAUT), UTAUT2, patient activation measure (PAM), and ConsHI levels to constitute a pilot instrument. We proposed a total of 78 questions consisting of 14 demographic and 64 related maturity variables using an iterative process. We used a multistage convenient sampling approach to select 351 respondents from all three countries.

RESULTS

 Our results supported the earlier assertion that mobile devices and technology are standard today than ever, thus confirming that mobile devices have become an essential part of human activities. We used the Wilcoxon Signed-Rank Test (WSRT) and item response theory (IRT) to reduce the ConsHI-related items from 64 to 43. The questionnaire consisted of 10 demographic questions and 43 ConsHI relevant questions on the maturity of citizens for ConsHI in LMIC. Also, the results supported some moderators such as age and gender. Additionally, more demographic items such as marital status, educational level, and location of respondents were validated using IRT and WSRT.

CONCLUSION

 We contend that this is the first composite instrument for assessing the maturity of citizens for ConsHI in LMIC. Specifically, it aggregates multiple theoretical models from information systems (UTAUT and UTAUT2) and health (PAM) and the ConsHI level.

Implementation of iPads to Increase Compliance With Delivery of New Parent Education in the Mother-Baby Unit: Retrospective Study

BACKGROUND

Abusive head trauma (AHT) is a serious health problem affecting more than 3000 infants annually in the United States. The American Academy of Pediatrics and the Centers for Disease Control and Prevention (CDC) recommend that health care providers counsel new parents about the dangers of AHT. Previous studies demonstrate that parental education is effective at reducing AHT events. South Carolina law requires hospitals to offer all new parents with the opportunity to watch an educational video about AHT. This mandate is addressed in different ways at the several delivery centers within a large South Carolina health care system with a range of viewing methods utilized, from DVD players to mobile workstations to personal devices. Frequent technical barriers and workflow inefficiencies resulted in low rates of compliance with this mandate at several campuses. To improve compliance of parent viewing of this educational video, the health care system standardized video viewing protocol across all campuses by implementing the use of iPads for parental education. Existing literature suggests that patient education can be improved in the hospital setting by utilizing tablet computers, but our literature search identified a gap in research around the education of parents and caregivers during hospitalization for childbirth. We used the implementation of an iPad-based parental education delivery protocol to evaluate whether tablet computers can improve compliance with delivering new parent education in the hospital setting.

OBJECTIVE

The objective of this study was to evaluate whether the standardized use of iPads to deliver education in the mother-baby unit resulted in improved rates of parents' acceptance of the opportunity to view an educational video about AHT.

METHODS

We interviewed physicians and nurses to determine what previous protocols were in place to educate new parents before a standardized iPad-based protocol was implemented across 6 campuses of a large South Carolina health care system. A retrospective study was conducted by review of 5231 records from across the 6 campuses to determine the pre- and postintervention compliance rates of viewing the AHT educational video by parents in the mother-baby unit.

RESULTS

Compliance increased overall (P<.001) across sites from an average of 41.93% (SD 46.24) to 99.73% (SD 0.26) (φ=0.510). As much as 4 of 6 locations saw a significant increase in compliance rates after introducing the iPad intervention (P<.001). The remaining 2 locations that showed no significant difference (P>.05) had very high rates of preintervention compliance.

CONCLUSIONS

Following the implementation of a standardized iPad-based protocol to deliver new parent education, there was a significant improvement in the percentage of new parents who viewed an educational video about AHT in the mother-baby unit. Based on these results, other health care providers should consider iPads to be a feasible and effective method for delivering hospital-based education to families in the mother-baby unit.

The effect of broadband access on electronic patient engagement activities: Assessment of urban-rural differences

OBJECTIVES

Lack of access to high-speed internet may explain disparities in the use of technologies that support electronic patient engagement (EPE). This study describes trends in how people with and without fixed broadband connectivity in urban and rural communities used EPE tools to interact with health care providers between 2014 and 2018.

METHODS

We linked Federal Communications Commission fixed broadband data with the Association of American Medical Colleges Consumer Survey of Health Care Access data for years 2014-2018 (n = 23,131). ZIP Codes with a 25Mbps download speed and 3Mbps upload speed were determined to have broadband connectivity access. We evaluated 6 activities involving the use of 4 EPE tools (email, text, website, chat, video, and mobile app) and the intensity of use (0 = none, 1-3 = low, 4-6 = high). Multivariate logistic and multinomial regression models were used to determine factors associated with EPE.

RESULTS

More than half (57.1%) of those without broadband access lived in rural areas. Overall, the intensity in the use of EPE tools increased from 2014 to 2016, then declined steadily with higher increases in use observed in urban and suburban than in rural areas. Lack of broadband access was associated with increased odds of zero intensity versus low-intensity use of EPE tools in rural areas (OR = 1.72, 95% CI: 1.42-2.09).

CONCLUSIONS

Inequality in broadband connectivity access may explain why rural communities lag in using various electronic tools for interacting with health care providers. Continued efforts to increase broadband connectivity in rural communities could improve their engagement with care providers.

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.

Data on the activation and utilization of an electronic health record patient portal in an adult inpatient population at an academic medical center

Electronic health record patient portals allow patients to access their own health data online and interact with the healthcare team. Many studies have focused on use of patient portals in the outpatient setting. Relatively less is known about use of patient portals for hospitalized patients. The data in this article include analysis of patient portal activation and utilization for adults hospitalized in 2018 at an academic medical center in a Midwestern state in the United States. Activation was assessed by percentage of patients who had activated their patient portal by the time of data review. Utilization of the patient portal was determined by whether patients or their legal proxies accessed one or more reports from diagnostic testing ordered during inpatient encounter(s) in 2018. The data include 826,843 diagnostic tests on 40,640 unique patients. Patient characteristics include sex, age, whether outpatient diagnostic tests were also performed in 2018, preferred language (English or non-English), health insurance status (private, public, or uninsured), self-declared race (White or non-White), and whether there was a legal proxy for the patient. Association of these covariates with patient portal activation and utilization were analyzed.

Predictors of Patient Portal Use Among Community-Dwelling Older Adults

Older adults lag behind their younger counterparts in the use of patient portals, which may limit their ability to engage in health care. A better understanding of the factors associated with portal use among older adults is needed. We examined the proportion of 100 community-dwelling older adults who reported using a portal, the associations between sociobehavioral factors and portal use, and modeled predictors of portal use. Of the 52% who reported using a portal, 28% used the portal on their own, and 24% received assistance from others or had others access the portal on their behalf. After controlling for confounders, only marital status was significantly associated with any portal use. Marital status and patient activation were significantly associated with independent portal use. Further exploration is warranted to identify additional factors and the possible mechanisms underlying portal use by older adults. [Research in Gerontological Nursing, 14(1), 33-42.].

Barriers and Facilitators to Older Adults Participating in Fall-Prevention Strategies After Transitioning Home from Acute Hospitalization: A Scoping Review

Purpose

Approximately, 14% of older adults aged 65 years and over experience a fall within 1 month post-hospital discharge. Adequate self-management may minimize the impact of these falls; however, research is lacking on why some older adults engage in self-management to prevent falls while others do not.

Methods

We conducted a scoping review to identify barriers and facilitators to older adults participating in fall-prevention strategies after transitioning home from acute hospitalization. Eligibility criteria were peer-reviewed journal articles published during 2009-2019 which were written in English and contained any of the following keywords or their synonyms: "fall-prevention," "older adults," "post-discharge" and "transition care." We systematically and selectively summarized the findings of these articles using the Joanna Briggs Institute guidelines and the PRISMA-ScR reporting guidelines. Seven bibliographic databases were searched: PubMed/MEDLINE, ERIC, CINAHL, Cochrane Library, Scopus, PsycINFO, and Web of Science. We used the Capability-Opportunity-Motivation-Behavior (COM-B) model of health behavior change as a framework to guide the content, thematic analysis, and descriptive results.

Results

Seventeen articles were finally selected. The most frequently mentioned barriers and facilitators for each COM-B dimension differed. Motivation factors include such as older adults lacking inner drive and self-denial of being at risk for falls (barriers) and following-up with older adults and correcting inaccurate perceptions of falls and fall-prevention strategies (facilitators).

Conclusion

This scoping review revealed gaps and future research areas in fall prevention relative to behavioral changes. These findings may enable tailoring feasible fall-prevention interventions for older adults after transitioning home from acute hospitalization.

Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study

Background

Past mobile health (mHealth) efforts to empower type 2 diabetes (T2D) self-management include portals, text messaging, collection of biometric data, electronic coaching, email, and collection of lifestyle information.

Objective

The primary objective was to enhance patient activation and self-management of T2D using the US Department of Defense’s Mobile Health Care Environment (MHCE) in a patient-centered medical home setting.

Methods

A multisite study, including a user-centered design and a controlled trial, was conducted within the US Military Health System. Phase I assessed preferences regarding the enhancement of the enabling technology. Phase II was a single-blinded 12-month feasibility study that randomly assigned 240 patients to either the intervention (n=123, received mHealth technology and behavioral messages tailored to Patient Activation Measure [PAM] level at baseline) or the control group (n=117, received equipment but not messaging. The primary outcome measure was PAM scores. Secondary outcome measures included Summary of Diabetes Self-Care Activities (SDSCA) scores and cardiometabolic outcomes. We used generalized estimating equations to estimate changes in outcomes.

Results

The final sample consisted of 229 patients. Participants were 61.6% (141/229) male, had a mean age of 62.9 years, mean glycated hemoglobin (HbA_1c) of 7.5%, mean BMI of 32.7, and a mean duration of T2D diagnosis of 9.8 years. At month 12, the control group showed significantly greater improvements compared with the intervention group in PAM scores (control mean 7.49, intervention mean 1.77; P=.007), HbA_1c (control mean −0.53, intervention mean −0.11; P=.006), and low-density lipoprotein cholesterol (control mean −7.14, intervention mean 4.38; P=.01). Both groups showed significant improvement in SDSCA, BMI, waist size, and diastolic blood pressure; between-group differences were not statistically significant. Except for patients with the highest level of activation (PAM level 4), intervention group patients exhibited significant improvements in PAM scores. For patients with the lowest level of activation (PAM level 1), the intervention group showed significantly greater improvement compared with the control group in HbA_1c (control mean −0.09, intervention mean −0.52; P=.04), BMI (control mean 0.58, intervention mean −1.22; P=.01), and high-density lipoprotein cholesterol levels (control mean −4.86, intervention mean 3.56; P<.001). Significant improvements were seen in AM scores, SDSCA, and waist size for both groups and in diastolic and systolic blood pressure for the control group; the between-group differences were not statistically significant. The percentage of participants who were engaged with MHCE for ≥50% of days period was 60.7% (68/112; months 0-3), 57.4% (62/108; months 3-6), 49.5% (51/103; months 6-9), and 43% (42/98; months 9-12).

Conclusions

Our study produced mixed results with improvement in PAM scores and outcomes in both the intervention and control groups. Structural design issues may have hampered the influence of tailored behavioral messaging within the intervention group.

Trial Registration

ClinicalTrials.gov NCT02949037; https://clinicaltrials.gov/ct2/show/NCT02949037

International Registered Report Identifier (IRRID)

RR2-10.2196/resprot.6993

Interactive Digital Health Tools to Engage Patients and Caregivers in Discharge Preparation: Implementation Study

BACKGROUND

Poor discharge preparation during hospitalization may lead to adverse events after discharge. Checklists and videos that systematically engage patients in preparing for discharge have the potential to improve safety, especially when integrated into clinician workflow via the electronic health record (EHR).

OBJECTIVE

This study aims to evaluate the implementation of a suite of digital health tools integrated with the EHR to engage hospitalized patients, caregivers, and their care team in preparing for discharge.

METHODS

We used the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework to identify pertinent research questions related to implementation. We iteratively refined patient and clinician-facing intervention components using a participatory process involving end users and institutional stakeholders. The intervention was implemented at a large academic medical center from December 2017 to July 2018. Patients who agreed to participate were coached to watch a discharge video, complete a checklist assessing discharge readiness, and request postdischarge text messaging with a physician 24 to 48 hours before their expected discharge date, which was displayed via a patient portal and bedside display. Clinicians could view concerns reported by patients based on their checklist responses in real time via a safety dashboard integrated with the EHR and choose to open a secure messaging thread with the patient for up to 7 days after discharge. We used mixed methods to evaluate our implementation experience.

RESULTS

Of 752 patient admissions, 510 (67.8%) patients or caregivers participated: 416 (55.3%) watched the video and completed the checklist, and 94 (12.5%) completed the checklist alone. On average, 4.24 concerns were reported per each of the 510 checklist submissions, most commonly about medications (664/2164, 30.7%) and follow-up (656/2164, 30.3%). Of the 510 completed checklists, a member of the care team accessed the safety dashboard to view 210 (41.2%) patient-reported concerns. For 422 patient admissions where postdischarge messaging was available, 141 (33.4%) patients requested this service; of these, a physician initiated secure messaging for 3 (2.1%) discharges. Most patient survey participants perceived that the intervention promoted self-management and communication with their care team. Patient interview participants endorsed gaps in communication with their care team and thought that the video and checklist would be useful closer toward discharge. Clinicians participating in focus groups perceived the value for patients but suggested that low awareness and variable workflow regarding the intervention, lack of technical optimization, and inconsistent clinician leadership limited the use of clinician-facing components.

CONCLUSIONS

A suite of EHR-integrated digital health tools to engage patients, caregivers, and clinicians in discharge preparation during hospitalization was feasible, acceptable, and valuable; however, important challenges were identified during implementation. We offer strategies to address implementation barriers and promote adoption of these tools.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03116074; https://clinicaltrials.gov/ct2/show/NCT03116074.