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"Connection": The Integration of a Person-Centered Narrative Intervention into the Electronic Health Record: An Implementation Study.

ABSTRACT: Background: Incorporating patient narratives into the electronic health record (EHR) is an opportunity to integrate patients' values and beliefs into their care and improve patient-clinician communication. Objective: The study's aims were to (1) identify barriers and facilitators influencing the implementation of a cocreated patient narrative intervention and (2) assess the acceptability/usability of the patient's narrative from the perspective of key stakeholders-the patient and acute care bedside nurse. Design: We used an implementation design using mixed methods. Setting/Subjects: Twenty patients and 18 nurses were enrolled from five units in an acute care hospital. Results: For patients, the narrative intervention provided an avenue to discuss and share how illness has impacted their life in psychological, social, and spiritual belief domains. For nurses, the ability to read the patient's narrative provided benefits that fostered improved communication and more connection with their patients. Despite successfully meeting recruitment targets, time was the largest barrier for patient and nurse participants. Overall, the nurse participants gave high ratings on most of the items on the System Usability Scale with one exception-EHR integration. The lack of EHR integration on the System Usability Survey corresponds with the nurses' stated desire for a prominent location of patient narratives in the EHR. Conclusions: The patient narrative intervention was acceptable and usable for hospitalized patients and nurse participants. Our study demonstrates that a cocreated patient narrative intervention provides avenues for patients and nurses to connect despite being in hectic acute care settings. Trial Registration: ClinicalTrials.gov NCT03391115.

SUBMITTER: Coats H

PROVIDER: S-EPMC7249456 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIncorporating a patient's personal narrative into the electronic health record is an opportunity to more fully integrate the patient's values and beliefs into care, thus creating opportunities to deliver high-quality/high-value, person-centered care.ObjectivesThe aim of the study was to present a study protocol of a narrative intervention to (a) compare the effects of the narrative intervention to usual care on primary outcome of person's (patient) perceptions of quality of communication, (b) compare the effects of the narrative intervention on secondary outcomes of biopsychosocial well-being, and (c) examine the feasibility and acceptability of the narrative intervention from the perspective of both persons: the patient and the acute care bedside nurse.MethodsA randomized control trial is being conducted with a targeted enrollment of 80 patient participants and 80 nurse participants. The patient participants include individuals who are admitted to the acute care hospital for either heart failure or end-stage renal disease. An acute care beside nurse who has cared for the patient participant is also enrolled. Through a 1:1 random allocation scheme, stratified by illness, we will enroll 40 in the narrative intervention group and 40 in the usual care group. Patient participants will be assessed for patient-reported outcomes of patient's perception of quality of communication and biopsychosocial well-being.ResultsThe study began in October 2019; 53 potential patient participants have been approached, 21 have enrolled, and 20 have completed the data collection process.DiscussionThe testing and integration of a person-centered narrative into the electronic health record is a novel approach to provide opportunities for improvement in communication between patients and nurses. The results from this study will provide important preliminary knowledge to inform future randomized clinical trials of narrative interventions leading to advances in how to best provide high-value, high-quality, person-centered care for persons living with serious illness.

Project description:Electronic health record (EHR) use can enhance or undermine the ability of providers to deliver effective, humanistic patient-centered care. Given patient-centered care has been found to positively impact patient health outcomes, it is critical to provide formal education on patient-centered EHR communication skills. Unfortunately, despite increasing worldwide EHR adoption, few institutions educate trainees on EHR communication best practices.The goal of this research was to develop and deliver mandatory patient-centered EHR training to all incoming housestaff at the University of Chicago.We developed a brief patient-centered EHR use curriculum highlighting best practices based on a literature search. Training was embedded into required EHR onboarding for all incoming housestaff (interns, residents, and fellows) at the University of Chicago in 2015 and was delivered by institutional Clinical Applications Trainers. An 11-item posttraining survey consisting of ten 5-point Likert scale questions and 1 open-ended question was administered. Responses at the high end of the scale were grouped to dichotomize data.All 158 of the incoming 2015 postgraduate trainees participated in training and completed surveys (158/158, 100.0%). Just over half (86/158, 54.4%) were interns and the remaining were residents and fellows (72/158, 45.6%). One-fifth of respondents (32/158, 20.2%) were primary care trainees (defined as internal medicine, pediatric, and medicine-pediatric trainees), and the remaining 79.7% (126/158) were surgical or specialty trainees. Self-perceived pre- versus posttraining knowledge of barriers, best practices, and ability to implement patient-centered EHR skills significantly increased (3.1 vs 3.9, P<.001 for all). Most felt training was effective (90.5%), should be required (86.7%), and would change future practice as a result (70.9%). The only significant difference between intern and resident/fellow responses was prior knowledge of patient-centered EHR use barriers; interns endorsed higher prior knowledge than resident peers (3.27 vs 2.94 respectively, P=.03). Response comparison of specialty or surgical trainees (n=126) to primary care trainees (n=32) showed no significant differences in prior knowledge of barriers (3.09 vs 3.22, P=.50), of best practices (3.08 vs 2.94, P=.37), or prior ability to implement best practices (3.11 vs 2.84, P=.15). Primary care trainees had larger increases posttraining than surgical/specialty peers in knowledge of barriers (0.8 vs 0.7, P=.62), best practices (1.1 vs 0.8, P=.08), and ability to implement best practices (1.1 vs 0.7, P=.07), although none reached statistical significance. Primary care trainees also rated training as more effective (4.34 vs 4.09, P=.03) and felt training should be required (4.34 vs 4.09, P=.10) and would change their future practice as a result (4.13 vs 3.73, P=.02).Embedding EHR communication skills training into required institutional EHR training is a novel and effective way to teach key EHR skills to trainees. Such training may help ground trainees in best practices and contribute to cultivating an institutional culture of humanistic, patient-centered EHR use.

Project description:BackgroundUp to 60% of health care providers experience one or more symptoms of burnout. Perceived clinician burden resulting in burnout arises from factors such as electronic health record (EHR) usability or lack thereof, perceived loss of autonomy, and documentation burden leading to less clinical time with patients. Burnout can have detrimental effects on health care quality and contributes to increased medical errors, decreased patient satisfaction, substance use, workforce attrition, and suicide.ObjectiveThis project aims to improve the user-centered design of the EHR by obtaining direct input from clinicians about deficiencies. Fixing identified deficiencies via user-centered design has the potential to improve usability, thereby increasing satisfaction by reducing EHR-induced burnout.MethodsQuantitative and qualitative data will be obtained from clinician EHR users. The input will be received through a form built in a REDCap database via a link embedded in the home page of the EHR. The REDCap data will be analyzed in 2 main dimensions, based on nature of the input, what section of the EHR is affected, and what is required to fix the issue(s). Identified issues will be escalated to relevant stakeholders responsible for rectifying the problems identified. Data analysis, project evaluation, and lessons learned from the evaluation will be incorporated in a Plan-Do-Study-Act (PDSA) manner every 4-6 weeks.ResultsThe pilot phase of the study began in October 2020 in the Gastroenterology Division at Mount Sinai Hospital, New York City, NY, which includes 39 physicians and 15 nurses. The pilot is expected to run over a 4-6-month period. The results of the REDCap data analysis will be reported within 1 month of completing the pilot phase. We will analyze the nature of requests received and the impact of rectified issues on the clinician EHR user. We expect that the results will reveal which sections of the EHR have the highest deficiencies while also highlighting issues about workflow difficulties. Perceived impact of the project on provider engagement, patient safety, and workflow efficiency will also be captured by evaluation survey and other qualitative methods where possible.ConclusionsThe project aims to improve user-centered design of the EHR by soliciting direct input from clinician EHR users. The ultimate goal is to improve efficiency, reduce EHR inefficiencies with the possibility of improving staff engagement, and lessen EHR-induced clinician burnout. Our project implementation includes using informatics expertise to achieve the desired state of a learning health system as recommended by the National Academy of Medicine as we facilitate feedback loops and rapid cycles of improvement.International registered report identifier (irrid)PRR1-10.2196/25148.

Project description:Rationale & objectiveElectronic health record portals are increasingly emphasized in chronic kidney disease (CKD). However, associations of portal use with clinical and patient-centered outcomes remain unknown.Study designCross-sectional survey (April 2015 to March 2018).Setting & participantsNondialysis patients with CKD from nephrology clinics within 1 academic medical center.ExposuresPatient demographics (age, sex, race, ethnicity, education, and income), kidney function.OutcomesAssociation between portal use as an outcome and exposures. Additionally, associations of portal use and patient demographics with 4 patient-centered outcomes (CKD-specific knowledge, stress, and 2 self-ratings of health).Analytic approachLogistic regression to examine associations between patient portal use, demographics, and kidney function. Linear regression to examine associations between portal use and patient-centered outcomes.ResultsOf 245 participants, mean age was 60 ± 17 (SD) years, 182 (77%) were White, 121 (49%) were women, 230 (96%) had a high school education or higher, and 96 (45%) had <$50,000 annual income. Examining portal use, 159 (65%) used the portal as follows: checking laboratory test results, 157 (99%); managing appointments, 133 (84%); messaging providers, 131 (82%); viewing medical history, 127 (80%); reviewing educational resources, 113 (71%); and renewing prescriptions, 98 (62%). African Americans (OR, 0.34; 95% CI, 0.16-0.72 vs White patients), patients with less formal education (OR, 0.06; 95% CI, 0.01-0.36), and those with lower income (OR, 0.28; 95% CI, 0.13-0.60; and OR, 0.26; 95% CI, 0.12-0.54 comparing income < $25,000 and $25,000-$50,000, respectively, with ≥$50,000) had lower odds of using the portal. In adjusted analysis, only lower income predicted lower portal use. Examining patient-centered outcomes in univariable analysis, portal users had higher knowledge (β = 4.89; P = 0.02), higher ratings of current health (β = 0.28; P = 0.03), and lower CKD-related stress (β = -0.18; P = 0.05). In adjusted analysis, only patient demographics and/or kidney function remained independent predictors of patient-centered outcomes.LimitationsCross-sectional study design, cannot determine causality.ConclusionsInterventions are needed to ensure that all patients have access to portals to mitigate disparities in care.

Project description:BackgroundCurrent guidelines recommend less aggressive target hemoglobin A1c (HbA1c) levels based on older age and lower life expectancy for older adults with diabetes. The effectiveness of electronic health record (EHR) clinical decision support (CDS) in promoting guideline adherence is undermined by alert fatigue and poor workflow integration. Integrating behavioral economics (BE) and CDS tools is a novel approach to improving adherence to guidelines while minimizing clinician burden.MethodsWe will apply a systematic, user-centered design approach to incorporate BE "nudges" into a CDS module and will perform user testing in two "vanguard" sites. To accomplish this, we will conduct (1) semi-structured interviews with key informants (n = 8), (2) a 2-h, design-thinking workshop to derive and refine initial module ideas, and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on three proposed nudge module components (navigator section, inbasket refill protocol, medication preference list). Detailed field notes will be summarized by module idea and usability theme for rapid iteration. Frequency of firing and user action taken will be assessed in the first month of implementation via EHR reporting to confirm that module components and related reporting are working as expected as well as assess utilization. To assess the utilization and feasibility of the new tools and generate estimates of clinician compliance with the Choosing Wisely guideline for diabetes management in older adults, a 6-month, single-arm pilot study of the BE-EHR module will be conducted in six outpatient primary care clinics.DiscussionWe hypothesize that a low burden, user-centered approach to design will yield a BE-driven, CDS module with relatively high utilization by clinicians. The resulting module will establish a platform for exploring the ability of BE concepts embedded within the EHR to affect guideline adherence for other use cases.

Project description:BackgroundPerson-centered care (PCC) is an important concept in many countries' national guidelines and dementia plans. Key intervention categories, i.e., a taxonomy of person-centered (PC)-interventions, to provide person-centered dementia care, are difficult to identify from literature.ObjectiveThis systematic review aimed to identify and categorize published PC-interventions into key intervention categories to guide the provision of person-centered dementia care.MethodsConduct of this systematic review followed Cochrane guidelines. A search of the dimensions 'Dementia', 'Person-Centered Care', and 'Intervention' combined was performed in PubMed, EMBASE, and Web of Science. Study selection was based on 2-stage screening against eligibility criteria, limited to controlled study designs. Information about interventions and outcomes was extracted into an "Effects Table". The identified PC-interventions were categorized in intervention categories to provide person-centered dementia care.ResultsSearches identified 1,806 records. 19 studies were included. These covered a range of psychosocial interventions, oftentimes multi-component interventions, which followed heterogeneous approaches. Studies were conducted in long-term care/hospital settings. Nine key intervention categories were identified: social contact, physical activities, cognitive training, sensory enhancement, daily living assistance, life history oriented emotional support, training and support for professional caregivers, environmental adjustments, and care organization.ConclusionOur findings provide a current overview of published PC-interventions in dementia, which followed heterogeneous approaches under the PCC-concept. The heterogeneity made it challenging to identify a well-defined concept of PCC and common key intervention categories. An effectiveness-evaluation of "PC" - including "relationship-centered"-interventions may be valuable, to assess whether an explicit focus on relationships around PCC-interventions yields an added benefit.Prospero-idCRD42021225084.

Project description:BackgroundThe predominant implementation paradigm of electronic health record (EHR) systems in low- and middle-income countries (LMICs) relies on standalone system installations at facilities. This implementation approach exacerbates the digital divide, with facilities in areas with inadequate electrical and network infrastructure often left behind. Mobile health (mHealth) technologies have been implemented to extend the reach of digital health, but these systems largely add to the problem of siloed patient data, with few seamlessly interoperating with the EHR systems that are now scaled nationally in many LMICs. Robust mHealth applications that effectively extend EHR systems are needed to improve access, improve quality of care, and ameliorate the digital divide.ObjectiveWe report on the development and scaled implementation of mUzima, an mHealth extension of the most broadly deployed EHR system in LMICs (OpenMRS).MethodsThe "Guidelines for reporting of health interventions using mobile phones: mobile (mHealth) evidence reporting assessment (mERA)" checklist was employed to report on the mUzima application. The World Health Organization (WHO) Principles for Digital Development framework was used as a secondary reference framework. Details of mUzima's architecture, core features, functionalities, and its implementation status are provided to highlight elements that can be adapted in other systems.ResultsmUzima is an open-source, highly configurable Android application with robust features including offline management, deduplication, relationship management, security, cohort management, and error resolution, among many others. mUzima allows providers with lower-end Android smartphones (version 4.4 and above) who work remotely to access historical patient data, collect new data, view media, leverage decision support, conduct store-and-forward teleconsultation, and geolocate clients. The application is supported by an active community of developers and users, with feature priorities vetted by the community. mUzima has been implemented nationally in Kenya, is widely used in Rwanda, and is gaining scale in Uganda and Mozambique. It is disease-agnostic, with current use cases in HIV, cancer, chronic disease, and COVID-19 management, among other conditions. mUzima meets all WHO's Principles of Digital Development, and its scaled implementation success has led to its recognition as a digital global public good and its listing in the WHO Digital Health Atlas.ConclusionsGreater emphasis should be placed on mHealth applications that robustly extend reach of EHR systems within resource-limited settings, as opposed to siloed mHealth applications. This is particularly important given that health information exchange infrastructure is yet to mature in many LMICs. The mUzima application demonstrates how this can be done at scale, as evidenced by its adoption across multiple countries and for numerous care domains.

Dataset Information

"Connection": The Integration of a Person-Centered Narrative Intervention into the Electronic Health Record: An Implementation Study.

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