Transitions of Care: Completeness of the Interoperability Data Standard for Communication from Home Health Care to Primary Care

Data sharing is necessary to address communication deficits along the transitions of care among community settings. Evidence-based practice supports home healthcare (HHC) patients to see their primary care team within the first two weeks of hospital discharge to reduce rehospitalization risk. A small subset of patient data collected at HHC admission is mandated to be transmitted to primary care, predominantly by fax. Using qualitative analysis, we assessed completeness of the United States Core Data for Interoperability (USCDI) interoperability standard, as compared to the patient data collected by the primary care team (topics) and HHC (classes) during the initial visit; and offer interoperability recommendations. Findings indicate the USCDI does not cover 74% of the 19 faxed HHC classes that mapped to the primary care topics, and 95% of the 38 not-faxed HHC classes. We offer USCDI recommendations to address these interoperability gaps.

An integrative review of chronic illness mHealth self-care interventions: Mapping technology features to patient outcomes

Mobile health (mHealth)-hand-held technologies to address health priorities-has significant potential to answer the growing need for patient chronic illness self-care interventions. Previous reviews examined mHealth effect on patient outcomes. None have a detailed examination and mapping of specific technology features to targeted health outcomes. Examine recent chronic illness mHealth self-care interventions; map the study descriptors, mHealth technology features, and study outcomes. (1) Information extracted from PubMed, CINAHL, and Web of Science databases for clinical outcomes studies published 2010-January 2020; and (2) realist synthesis techniques for within and across case analysis. From 652 records, 32 studies were examined. Median study duration was 19.5 weeks. Median sample size was 62 participants. About 47% of interventions used solely patient input versus digital input; 50% sent tailored messages versus generic messages; 22% augmented the intervention with human interaction. Studies with positive clinical outcomes had higher use of digital input. Software descriptions were lacking. Most studies built interventions: only two incorporated target audience participation in development. We recommend researchers provide sufficient system description detail. Future research includes: data input characteristics; impact of augmentation with human interaction on outcomes; and development decisions.

Planning the Episode: Home Care Admission Nurse Decision-Making Regarding the Patient Visit Pattern

During home health care (HHC) admissions, nurses provide input into decisions regarding the skilled nursing visit frequency and episode duration. This important clinical decision can impact patient outcomes including hospitalization. Episode duration has recently gained greater importance due to the Centers for Medicare and Medicaid Services (CMS) decrease in reimbursable episode length from 60 to 30 days. We examined admissions nurses’ visit pattern decision-making and whether it is influenced by documentation available before and during the first home visit, agency standards, other disciplines being scheduled, and electronic health record (EHR) use. This observational mixed-methods study included admission document analysis, structured interviews, and a think-aloud protocol with 18 nurses from 3 diverse HHC agencies (6 at each) admitting 2 patients each (36 patients). Findings show that prior to entering the home, nurses had an information deficit; they either did not predict the patient’s visit frequency and episode duration or stated them based on experience with similar patients. Following patient interaction in the home, nurses were able to make this decision. Completion of documentation using the EHR did not appear to influence visit pattern decisions. Patient condition and insurance restrictions were influential on both frequency and duration. Given the information deficit at admission, and the delay in visit pattern decision making, we offer health information technology recommendations on electronic communication of structured information, and EHR documentation and decision support.

An integrative review and theoretical examination of chronic illness mHealth studies using the Middle-Range Theory of Self-care of Chronic Illness

Self-management, or self-care, by individuals and/or families is a critical element in chronic illness management as more care shifts to the home setting. Mobile device-enhanced health care, or mHealth, is being touted as a means to support self-care. Previous mHealth reviews examined the effect of mHealth on patient outcomes, however, none used a theoretical lens to examine the interventions themselves. The aims of this integrative review were to examine recent (e.g., last 10 years) chronic illness mHealth empiric studies and (1) categorize self-care behaviors engaged in the intervention according to the Middle-Range Theory of Self-care of Chronic Illness, and (2) conduct an analysis of gaps in self-care theory domains and behaviors utilized. Methods included: (1) Best practice study identification, collection, and data extraction procedures and (2) realist synthesis techniques for within and across case analysis. From a pool of 652 records, 33 primarily North American clinical trials, published between 2010 and 2019 were examined. Most mHealth interventions used apps, clinician contact, and behavioral prompts with some wireless devices. Examination found self-care maintenance behaviors were supported in most (n = 30) trials whereas self-care monitoring (n = 12) and self-care management behaviors (n = 8) were less so. Few trials (n = 2) targeted all three domains. Investigation of specific behaviors uncovered an overexamination of physical activity and diet behaviors and an underexamination of equally important behaviors. By examining chronic illness mHealth interventions using a theoretical lens we have categorized current interventions, conducted a gap analysis uncovering areas for future study, and made recommendations to move the science forward.

Incorporating home healthcare nurses' admission information needs to inform data standards

OBJECTIVE

Patient transitions into home health care (HHC) often occur without the transfer of information needed for critical clinical decisions and the plan of care. Owing to a lack of universally implemented standards, there is wide variation in information transfer. We sought to characterize missing information at HHC admission.

MATERIALS AND METHODS

We conducted a mixed methods study with 3 diverse HHC agencies. Focus groups with nurses at each agency identified what information supports patient care decisions at admission. Thirty-six in-home admissions with associated documentation review determined the available information. To inform information standards development for the HHC admission process, we compared the types of information desired and available to an international standard for transitions in care information, the Continuity of Care Document (CCD) enhanced with Office of the National Coordinator for Healthcare Information Technology summary terms (CCD/S).

RESULTS

Three-quarters of the items from the focus groups mapped to the CCD/S. Regarding available information at admission, no observation included all CCD/S data items. While medication information was needed and often available for 4 important decisions, concepts related to patient medication self-management appeared in neither the CCD/S nor the admission documentation.

DISCUSSION

The CCD/S mostly met HHC nurses' information needs and is recommended to begin to fill the current information gap. Electronic health record recommendations include use of a data standard: the CCD or the proposed, more parsimonious U.S. Core Data for Interoperability.

CONCLUSIONS

Referral source and HHC agency adoption of data standards is recommended to support structured, consistent data and information sharing.

Getting to Complete and Accurate Medication Lists During the Transition to Home Health Care

OBJECTIVES

Characterize the work that home health care (HHC) admission nurses complete as part of the medication reconciliation tasks, explore the impact of shared electronic medication data (interoperability) from the referral source on medication reconciliation, and highlight opportunities to enhance medication reconciliation with respect to transition in care to HHC agencies.

DESIGN

Observational field study.

SETTINGS AND PARTICIPANTS

Three diverse Pennsylvania HHC agencies; each used different electronic health record systems with different interoperability characteristics. Six nurses per site admitted 2 patients each (36 patients total).

METHODS

Researchers observed the admission process in the patient home and at the HHC agency. The nurses' tasks related to medication reconciliation were characterized by (1) number and change types (ie, medications dropped or added; changes to dose, frequency/administration time, or tablet types) made to the referrer medication list during and after the home visit, and (2) reasons that the nurse called the health provider (doctor, pharmacy) to resolve medication-related issues. Differences between interoperable and non-interoperable observations were explored.

RESULTS

Polypharmacy (on average, study patients were taking more than 12 medications) and high-risk medications (on average, more than 8 per patient) were pervasive. For 91% of patients, the number of medications decreased between pre- and post-reconciliation medication lists; 41% of the medications required changes. Nurses using interoperable systems needed to make fewer changes than nurses using non-interoperable systems. In two-thirds of observations, the nurse called a provider.

CONCLUSIONS AND IMPLICATIONS

Changes to the referrer medication list and calls to providers highlighted the nurses' effort to complete the medication reconciliation. Interoperability appeared to reduce the number of changes required, but did not eliminate changes or calls to providers. We highlight opportunities to enhance medication reconciliation with respect to transition in care to HHC agencies.

Availability and Quality of Information Used by Nurses While Admitting Patients to a Rural Home Health Care Agency

Home health care admission nurses need high quality patient information but that information is not uniformly available. Despite this challenge, these nurses must make four critical decisions at patient admission to construct the plan of care: (1) patient problems to address in the home health care episode; (2) patient medication management; (3) services in addition to skilled nursing; and (4) skilled nursing visit pattern. We observed 12 in-home admissions at a rural home health care agency and interviewed nurses before and after about these decisions. We analyzed content and quality of documents. To evaluate quality, for each decision we assessed concordance between documents. Interview responses provided context in the analysis. Across all admissions, documents and their contents were not uniformly present. Nurses rarely received visit pattern or medication management information. There was discordance in the number of patient problems among and between available documents and the plan of care. Electronic health record design recommendations include interoperability and structured, consistent, actionable information.

Incongruence of Patient Problem Information Across Three Phases of Home Care Admission: There's a Problem with the Problem List

In home health care, the patient problem list is an important component of the admission and care planning processes and determines the subsequent care received. We examined the information received from the referring facilities and its relationship with the final patient problem list generated at home health care admission. Researchers observed 12 admissions and collected available documents related to the admission and care planning process. Problems identified in documents provided to admission nurses (input documents) and in documents subsequently created by those nurses (output documents) were coded to form a standardized set of problem terms across the documents. Documents available, distribution of problems within the documents, and concordance between input and output documents were assessed. A varying number of the 17 unique problems found across the documents were distributed by document type. Patients were referred to home health care with more clinical problems than were documented in the output documents.

Knowledge Elicitation of Homecare Admission Decision Making Processes via Focus Group, Member Checking and Data Visualization

Researchers elicit knowledge related to expert decision-making processes to inform information technology design and related interventions. However, in healthcare, many subject matter experts have limited time for such endeavors. In addition, researchers need to analyze voluminous amounts of qualitative data. Thus, we present a data collection and validation methodology: an initial focus group followed by targeted member checking, both supported by data visualization. We ground the work in a homecare admission case study. We conducted a focus group with six homecare admitting nurses at a rural agency. Our custom visualizations of the qualitative results helped to identify potential missing information. We conducted a member checking session with five nurses to validate the focus group results and to address the missing data. The member checking results were incorporated into the custom visualizations. The data collection and validation methodology shows promise for knowledge elicitation in time-constrained situations.

Data Visualization of Home Care Admission Nurses' Decision-Making

The hospital to home care admission process is when nurses make important decisions about the post-transition episode, including medication reconciliation, plan of care, future visit patterns, and the inclusion of other disciplines. It is not clear how nurses get and use information to support decision-making. We conducted a focus group case study with six admitting home health nurses at a rural agency in Pennsylvania. We analyzed the data using thematic analysis and using our enhanced custom high level node-link diagram that highlights the relationships between decisions, tasks and information themes and sub-themes. The visualizations will be evaluated via review with home care subject matter experts.

Health Information Technology Evaluation Framework (HITREF) Comprehensiveness as Assessed in Electronic Point-of-Care Documentation Systems Evaluations

We assessed the Health Information Technology (HIT) Reference-based Evaluation Framework (HITREF) comprehensiveness in two HIT evaluations in settings different from that in which the HITREF was developed. Clinician satisfaction themes that emerged from clinician interviews in the home care and the hospital studies were compared to the framework components. Across both studies, respondents commented on 12 of the 20 HITREF components within 5 of the 6 HITREF concepts. No new components emerged that were missing from the HITREF providing evidence that the HITREF is a comprehensive framework. HITREF use in a range of HIT evaluations by researchers new to the HITREF demonstrates that it can be used as intended. Therefore, we continue to recommend the HITREF as a comprehensive, research-based HIT evaluation framework to increase the capacity of informatics evaluators' use of best practice and evidence-based practice to support the credibility of their findings for fulfilling the purpose of program evaluation.

Impact of homecare electronic health record on timeliness of clinical documentation, reimbursement, and patient outcomes

BACKGROUND

Homecare is an important and effective way of managing chronic illnesses using skilled nursing care in the home. Unlike hospitals and ambulatory settings, clinicians visit patients at home at different times, independent of each other. Twenty-nine percent of 10,000 homecare agencies in the United States have adopted point-of-care EHRs. Yet, relatively little is known about the growing use of homecare EHRs.

OBJECTIVE

Researchers compared workflow, financial billing, and patient outcomes before and after implementation to evaluate the impact of a homecare point-of-care EHR.

METHODS

The design was a pre/post observational study embedded in a mixed methods study. The setting was a Philadelphia-based homecare agency with 137 clinicians. Data sources included: (1) clinician EHR documentation completion; (2) EHR usage data; (3) Medicare billing data; (4) an EHR Nurse Satisfaction survey; (5) clinician observations; (6) clinician interviews; and (7) patient outcomes.

RESULTS

Clinicians were satisfied with documentation timeliness and team communication. Following EHR implementation, 90% of notes were completed within the 1-day compliance interval (n = 56,702) compared with 30% of notes completed within the 7-day compliance interval in the pre-implementation period (n = 14,563; OR 19, p <. 001). Productivity in the number of clinical notes documented post-implementation increased almost 10-fold compared to pre-implementation. Days to Medicare claims fell from 100 days pre-implementation to 30 days post-implementation, while the census rose. EHR implementation impact on patient outcomes was limited to some behavioral outcomes.

DISCUSSION

Findings from this homecare EHR study indicated clinician EHR use enabled a sustained increase in productivity of note completion, as well as timeliness of documentation and billing for reimbursement with limited impact on improving patient outcomes. As EHR adoption increases to better meet the needs of the growing population of older people with chronic health conditions, these results can inform homecare EHR development and implementation.

Opportunities in interdisciplinary care team adoption of electronic point-of-care documentation systems

We conducted three evaluation studies in community and hospital settings to examine point-of-care documentation system adoption among interdisciplinary care team clinicians. In the community settings, quantitative methods included documentation time-to-completion and a clinician satisfaction survey. Qualitative methods included observations and follow-up interviews. Qualitative data and quantitative data were merged comparing findings along themes. In the hospitals, qualitative scenario testing results indicated clinician system adoption was universal, though not always timely. At all sites, mismatch between system functionality and workflow was a barrier to clinician system access during patient care and reduced clinician efficiency. Clinicians at all settings were satisfied with their ability to access other clinicians' notes, without increased interdisciplinary team communication. Clinicians did not identify any systems impact on patient outcomes. To facilitate adoption, clinicians should see the value of using the system as intended by receiving system data feedback that shows improvement of patient care and patient safety.

Challenges and facilitators to adoption of a point-of-care electronic health record in home care

Electronic health records (EHRs), intended to improve the clinical process, are understudied in home care. The researchers assessed clinician satisfaction, informed by workflow and patient outcomes, to identify EHR adoption challenges. The mixed methods study setting was a Philadelphia agency with 137 clinicians. Adoption challenges included: (a) hardware problems coupled with lack of field support; (b) inadequate training; and (c) mismatch of EHR usability/functionality and workflow resulting in decreased efficiency. Adoption facilitators were support for team communication and improved clinical data timeliness. Opportunities for improved adoption included sharing with front-line clinicians EHR data related to patient care and health outcomes.

Interdisciplinary care team adoption of electronic point-of-care documentation systems: an unrealized opportunity

We conducted three health care evaluation studies in community and hospital settings to examine adoption of point-of-care documentation systems among interdisciplinary care team clinicians. Both community studies used a mixed methods design to assess actual system usage and clinician satisfaction. In the hospitals, scenario testing was used. Results indicated clinician adoption of the systems was universal, although not always timely with: (1) a mismatch between system functionality and workflow which was a barrier to clinician system access during patient care and reduced clinician efficiency; (2) no increase in interdisciplinary team communication; and (3) no impact on patient outcomes identified by clinicians. To facilitate adoption, clinicians should see the value of using the system as intended by receiving patient care and patient safety feedback that uses system data.

Evaluating the impact of electronic health records on nurse clinical process at two community health sites

We conducted two mixed methods studies in community-based health care settings to examine EHR use among nurses documenting direct patient care and EHR impact on nurse satisfaction. Quantitative methods included documentation time-to-completion data and a clinician satisfaction survey. Qualitative methods included observations and follow-up interviews. Qualitative data was merged with the quantitative data by comparing findings along themes. Results indicated nurses increased the number and timeliness of notes documented. Nurse use of the EHR as intended varied between the research sites. Barriers to EHR use included cumbersome functionalities that impacted nurse efficiency, lack of interoperability, and hardware issues. Facilitators to adoption included functionalities that provided memory prompts during the care process and enabled nurses to communicate about patient care. Interpretation of findings underscores the importance of the interaction of workflow, EHR functionality, and usability to impact nurse satisfaction, efficiency, and use of the EHR.

Software standards improve flow of information

Many healthcare organizations buy their microcomputers and software packages in a piece-meal fashion. As a result, single microcomputers cannot share information with other microcomputers, networks, or the central computer system. Designating compatible software packages and machines as standards for the institution ensures that hardware and software can communicate. These standards should be implemented across the institution and regularly updated so that users' needs are met.