The Use of Health Information Exchange to Augment Patient Handoff in Long-Term Care: A Systematic Review

A Survey of Technology Abandonment in US Nursing Homes

OBJECTIVE

Adoption of health information technology (HIT) in nursing homes (NHs) improves quality of care. Although there is a robust body of research on HIT adoption, the closely related process of technology abandonment is not well understood. As NHs grow more reliant on HIT, problems of technology abandonment, defined as failure to scale up, spread, and sustain HIT need to be studied. Our objective is to describe HIT abandonment and its associations with organizational characteristics among a national sample of US NHs.

DESIGN

Longitudinal, retrospective analysis of data from 2 sources: HIT Maturity Survey and Staging model and public data from the Care Compare database.

SETTING AND PARTICIPANTS

Random sample of NHs (n = 299) representing each US state that completed the HIT maturity survey in 2 consecutive years: year 1 (Y1) was June 2019-August 2020 and year 2 (Y2) was June 2020-August 2021.

METHODS

The primary dependent variable was technology abandonment, operationalized by using total HIT maturity score, HIT maturity stage, and subscale scores within each dimension/domain. Independent variables were NH organizational characteristics including bed size, type of ownership, urbanicity, Centers for Medicare & Medicaid Services Five-Star Overall Rating and Staffing Rating.

RESULTS

Over the 2-year period, HIT abandonment occurred in 28% (n = 85) of NHs compared with 44% (n = 133) that experienced growth in HIT systems. HIT capabilities in resident care were abandoned most frequently. Using multivariable multinomial logistic regression, we found that large NHs (bed size greater than 120) were more likely to experience technology abandonment in administrative activities.

CONCLUSIONS AND IMPLICATIONS

Technology abandonment can increase strain on scarce resources and may impact administrators' ability to oversee clinical operations, especially in large NHs. This study contributes to the limited understanding of technology abandonment and can serve as a building block for others working to ensure limited resources are used effectively to improve care for NH residents.

The Association Between Facility Affiliations and Revenue Generation in Skilled Nursing Facilities - An Exploratory Study

Background

Although hospitals have been the traditional setting for interventional and rehabilitative care, skilled nursing facilities (SNFs) can offer a high-quality and less costly alternative than hospitals. Unfortunately, the financial health of SNFs is often a matter of concern. To partially address these issues, SNF leaders have increased engagement in a number of affiliations to assist in improving quality and reducing operational costs, including Accountable Care Organizations (ACOs), Health Information Exchanges (HIEs), and participation in Bundled Payment for Care Improvement (BPCI) programs. What is not well understood is what impact these affiliations have on the financial viability of the host organizations. Given these factors, this study aims to identify what association, if any, exists between SNF affiliations and revenue generation.

Methods

Data from calendar year 2022 for n=13,447 SNFs in the US were assessed using multivariate regression analysis. We evaluated two separate dependent measures of revenue generation capacity: net patient revenue per bed and net patient revenue per discharge and considered three unique facility affiliations including (1) ACOs, (2) HIEs, and (3) BPCI participants.

Results

Six multivariable linear regressions revealed that ACO affiliation is negatively associated with revenue generation on both dependent measures, while HIE affiliation and BPCI participation reflected mixed results.

Conclusion

A better understanding of the financial impact of SNFs' affiliations may prove insightful. By carefully considering the value of each affiliation, and how each is applicable to any given market, policymakers, funding agencies, and facility leaders may be able to better position SNFs for more sustainable financial performance in a challenging economic environment.

Design, Development, and Evaluation of an Automated Solution for Electronic Information Exchange Between Acute and Long-term Postacute Care Facilities: Design Science Research

BACKGROUND

Information exchange is essential for transitioning high-quality care between care settings. Inadequate or delayed information exchange can result in medication errors, missed test results, considerable delays in care, and even readmissions. Unfortunately, long-term and postacute care facilities often lag behind other health care facilities in adopting health information technologies, increasing difficulty in facilitating care transitions through electronic information exchange. The research gap is most evident when considering the implications of the inability to electronically transfer patients' health records between these facilities.

OBJECTIVE

This study aimed to design and evaluate an open standards-based interoperability solution that facilitates seamless bidirectional information exchange between acute care and long-term and postacute care facilities using 2 vendor electronic health record (EHR) systems.

METHODS

Using the design science research methodology, we designed an interoperability solution that improves the bidirectional information exchange between acute care and long-term care (LTC) facilities using different EHR systems. Different approaches were applied in the study with a focus on the relevance cycle, including eliciting detailed requirements from stakeholders in the health system who understand the complex data formats, constraints, and workflows associated with transferring patient records between 2 different EHR systems. We performed literature reviews and sought experts in the health care industry from different organizations with a focus on the rigor cycle to identify the components relevant to the interoperability solution. The design cycle focused on iterating between the core activities of implementing and evaluating the proposed artifact. The artifact was evaluated at a health care organization with a combined footprint of acute and postacute care operations using 2 different EHR systems.

RESULTS

The resulting interoperability solution offered integrations with source systems and was proven to facilitate bidirectional information exchange for patients transferring between an acute care facility using an Epic EHR system and an LTC facility using a PointClickCare EHR system. This solution serves as a proof of concept for bidirectional data exchange between Epic and PointClickCare for medications, yet the solution is designed to expand to additional data elements such as allergies, problem lists, and diagnoses.

CONCLUSIONS

Historically, the interoperability topic has centered on hospital-to-hospital data exchange, making it more challenging to evaluate the efficacy of data exchange between other care settings. In acute and LTC settings, there are differences in patients' needs and delivery of care workflows that are distinctly unique. In addition, the health care system's components that offer long-term and acute care in the United States have evolved independently and separately. This study demonstrates that the interoperability solution improves the information exchange between acute and LTC facilities by simplifying data transfer, eliminating manual processes, and reducing data discrepancies using a design science research methodology.

Electronic health records in nursing from 2000 to 2020: A bibliometric analysis

Background

Electronic health records (EHR) is the longitudinal data generated by patients in medical institutions and recorded by electronic medical information systems in the form of digital, which is also the most widespread application of big data in medicine. The purpose of this study was to explore the application of electronic health records in the field of nursing and determine the current research status and hotspots.

Methods

A bibliometric analysis of electronic health records in nursing was undertaken from 2000 to 2020. The literature comes from Web of Science Core Collection database. We used CiteSpace (version 5.7 R5; Drexel University), which is a Java-based software that especially visualized collaborative networks and research topics.

Results

A total of 2616 publications were included in the study. We found that publications increased year by year. The Journal of American Medical Informatics Association (n = 921) is the most cited. The United States (n = 1,738) has the most publications in this field. University Penn (n = 63) is the institution with the most publications. There is no influential cooperation network among the authors, of which Bates, David W (n = 12) have the largest number of publications. The relevant publications also focus on the fields of health care science and services, and medical informatics. In keywords, EHR, long-term care, mobile application, inpatient falls, and advance care planning has been researching hotspots in recent years.

Conclusion

With the popularization of information systems, the publications of EHR in the nursing field have increased year by year. This study provides the basic structure, potential cooperation, and research trends of EHR in the field of nursing from 2000 to 2020, and provides a reference for nurses to effectively use EHR to help clinical work or scientific researchers explore the potential significances of EHR.

Transforming Health Data to Actionable Information: Recent Progress and Future Opportunities in Health Information Exchange

OBJECTIVES

Provide a systematic review of literature pertaining to health information exchange (HIE) since 2018. Summarize HIE-associated literature for most frequently occurring topics, as well as within the context of the COVID-19 pandemic and health equity. Finally, provide recommendations for how HIE can advance the vision of a digital healthcare ecosystem.

METHODS

A computer program was developed to mediate a literature search of primary literature indexed in MEDLINE that was: (1) indexed with "Health Information Exchange" MeSH descriptor as a major topic; and (2) published between January 2018 and December 2021. Frequency of MeSH descriptors was then used to identify and to rank topics associated with the retrieved literature. COVID-19 literature was identified using the general COVID-19 PubMed Clinical Query filter. Health equity literature was identified using additional MeSH descriptor-based searches. The retrieved literature was then reviewed and summarized.

RESULTS

A total of 256 articles were retrieved and reviewed for this survey. The major thematic areas summarized were: (1) Information Dissemination; (2) Delivery of Health Care; (3) Hospitals; (4) Hospital Emergency Service; (5) COVID-19; (6) Health Disparities; and (7) Computer Security and Confidentiality. A common theme across all areas examined for this survey was the maturity of HIE to support data-driven healthcare delivery. Recommendations were developed based on opportunities identified across the reviewed literature.

CONCLUSIONS

HIE is an essential advance in next generation healthcare delivery. The review of the recent literature (2018-2021) indicates that successful HIE improves healthcare delivery, often resulting in improved health outcomes. There remain major opportunities for expanded use of HIE, including the active engagement of clinical and patient stakeholders. The maturity of HIE reflects the maturity of the biomedical informatics and health data science fields.

How Do Dental Clinicians Obtain Up-To-Date Patient Medical Histories? Modeling Strengths, Drawbacks, and Proposals for Improvements

Background

Access to up-to-date patient medical history is essential for dental clinicians (DCs) to avoid potential harm to patients and to improve dental treatment outcomes. The predominant approach for dental clinicians (DCs) to gather patients' medical history is through patient-reported medical histories and medical consults. However, studies reported varied concordance and reliability of patient-reported medical conditions and medication histories compared to the patient medical records and this process also places a significant burden on patients. Information technology tools/platforms such as an integrated electronic health record containing an electronic dental record module may address these issues. However, these integrated systems are expensive and technically complex and may not be easily adopted by DCs in solo and small group practice who provide the most dental care. The recent expansion of regional healthcare information exchange (HIE) provides another approach, but to date, studies on connecting DCs with HIE are very limited. Our study objectives were to model different aspects of the current approaches to identify the strengths and weaknesses, and then model the HIE approach that addresses the weaknesses and retain the strengths of current approaches. The models of current approaches identified the people, resources, organizational aspects, workflow, and areas for improvement; while models of the HIE approach identified system requirements, functions, and processes that may be shared with software developers and other stakeholders for future development.

Methods

There are three phases in this study. In Phase 1, we retrieved peer-reviewed PubMed indexed manuscripts published between January 2013 and November 2020 and extracted modeling related data from selected manuscripts. In Phase 2, we built models for the current approaches by using the Integrated DEFinition Method 0 function modeling method (IDEF0), the Unified Modeling Language (UML) Use Case Diagram, and Business Process Model and Notation (BPMN) methods. In Phase 3, we created three conceptual models for the HIE approach.

Results

From the 47 manuscripts identified, three themes emerged: 1) medical consult process following patient-reported medical history, 2) integrated electronic dental record-electronic health record (EDR-EHR), and 3) HIE. Three models were built for each of the three themes. The use case diagrams described the actions of the dental patients, DCs, medical providers and the use of information systems (EDR-EHR/HIE). The IDEF0 models presented the major functions involved. The BPMN models depicted the detailed steps of the process and showed how the patient's medical history information flowed through different steps. The strengths and weaknesses revealed by the models of the three approaches were also compared.

Conclusions

We successfully modeled the DCs' current approaches of accessing patient medical history and designed an HIE approach that addressed the current approaches' weaknesses as well as leveraged their strengths. Organizational management and end-users can use this information to decide the optimum approach to integrate dental and medical care. The illustrated models are comprehensive and can also be adopted by EHR and EDR vendors to develop a connection between dental systems and HIEs.

Health Information Exchange between Specialists and General Practitioners Benefits Rural Patients

BACKGROUND

Health information exchange (HIE) may improve diagnostic accuracy, treatment efficacy, and safety by providing treating physicians with expert advice. However, most previous studies on HIE have been observational in nature.

OBJECTIVES

To examine whether collaboration between specialists and general practitioners (GPs) in rural areas via HIE can improve outcomes among patients at low-to-moderate risk of cardiovascular disease, kidney disease, and stroke.

METHODS

In this randomized controlled trial, the Miyagi Medical and Welfare Information Network was used for HIE. We evaluated the clinical data of 1,092 patients aged ≥65 years living in the rural areas of the Miyagi Prefecture and receiving care from GPs only. High-risk patients were immediately referred to specialists, whereas low-to-moderate risk patients were randomly assigned to an intervention group in which GPs were advised by specialists through HIE (n = 518, 38% male, mean age = 76 ± 7 years) or a control group in which GPs received no advice by specialists (n = 521, 39% male, mean age = 75 ± 7 years).

RESULTS

In the intention-to-treat analysis, all-cause mortality and cumulative incidence of serious adverse events (e.g., hospital admission or unexpected referral to specialists) did not differ between the groups. However, per-protocol analysis controlling for GP adherence with specialist recommendations revealed significantly reduced all-cause mortality (p = 0.04) and cumulative serious adverse event incidence (p = 0.04) in the intervention group compared with the control group.

CONCLUSION

HIE systems may improve outcomes among low-to-moderate risk patients by promoting greater collaboration between specialists and GPs, particularly in rural areas with few local specialists.

To Text or Not to Text? That is the Question

Texting is ubiquitous with a text frequency of 145 billion/day worldwide. This paper provides partial results of the national demonstration project called the Missouri Quality Improvement Initiative (MOQI). MOQI goals were to reduce avoidable hospitalizations using APRNs to infuse evidence-based practices, model appropriate decisions and improve communication among workers responsible for nursing home resident care. This is a retrospective content analysis of text messages sent and received via a secure, password protected, encrypted mobile text message platform called Mediprocity. Text messages were created by 15 APRNs and a PhD-RN project supervisor working in 16 nursing homes over 6 months (January 1-June 30 2018). During the 6 months of data collection 8,946 text messages were captured, coded and analyzed. Data included 1,018 sent messages and 7,928 received messages. The most common messages sent (n=324) and received (n=2319) were about patient updates. The second most common texts included messages confirming information (n=1312).

Accuracy of an Electronic Health Record Patient Linkage Module Evaluated between Neighboring Academic Health Care Centers

BACKGROUND

Patients often seek medical treatment among different health care organizations, which can lead to redundant tests and treatments. One electronic health record (EHR) platform, Epic Systems, uses a patient linkage tool called Care Everywhere (CE), to match patients across institutions. To the extent that such linkages accurately identify shared patients across organizations, they would hold potential for improving care.

OBJECTIVE

This study aimed to understand how accurate the CE tool with default settings is to identify identical patients between two neighboring academic health care systems in Southern California, The University of California Los Angeles (UCLA) and Cedars-Sinai Medical Center.

METHODS

We studied CE patient linkage queries received at UCLA from Cedars-Sinai between November 1, 2016, and April 30, 2017. We constructed datasets comprised of linkages ("successful" queries), as well as nonlinkages ("unsuccessful" queries) during this time period. To identify false positive linkages, we screened the "successful" linkages for potential errors and then manually reviewed all that screened positive. To identify false-negative linkages, we applied our own patient matching algorithm to the "unsuccessful" queries and then manually reviewed a sample to identify missed patient linkages.

RESULTS

During the 6-month study period, Cedars-Sinai attempted to link 181,567 unique patient identities to records at UCLA. CE made 22,923 "successful" linkages and returned 158,644 "unsuccessful" queries among these patients. Manual review of the screened "successful" linkages between the two institutions determined there were no false positives. Manual review of a sample of the "unsuccessful" queries (n = 623), demonstrated an extrapolated false-negative rate of 2.97% (95% confidence interval [CI]: 1.6-4.4%).

CONCLUSION

We found that CE provided very reliable patient matching across institutions. The system missed a few linkages, but the false-negative rate was low and there were no false-positive matches over 6 months of use between two nearby institutions.

Exploring information technology (IT) sophistication in New South Wales residential aged care facilities

Objective The aim of this study was to determine baseline information technology (IT) sophistication in New South Wales (NSW), Australia, residential aged care facilities. Method IT sophistication measures IT capabilities, extent of IT use and IT integration in two domains, resident care and clinical support. A survey was administered to all NSW residential aged care facilities (n = 876) between February and May 2017. A 15% response rate was achieved (130/876). Facilities were organised by organisational type, total residential places and remoteness. Using post-stratification weights, estimates of IT sophistication scores for NSW were determined. Regression was used to examine whether there was a linear relationship between IT sophistication and the ratio of residents receiving high care. Results Participating facilities were similar to other NSW facilities in residential places and remoteness, but different in organisational type. IT sophistication was highest in IT capabilities and integration in resident care. IT sophistication was lowest in clinical support. Respondents had a mean of 1.2 years of IT experience. IT sophistication varied among aged care facilities. There was a linear relationship (P < 0.05) with the proportion of high-care residents and total IT sophistication Conclusion Routine reports of IT sophistication in aged care are not available. If data were available, determining the influence of IT sophistication on the quality care for residential aged care would be possible. What is known about the topic? Aged care settings that deliver care to the older population need to be contemporary in their approach to delivering high-quality and safe care. Health IT holds great potential for improving the quality and safety of care of older residents in aged care facilities. What does this paper add? This report provides a baseline assessment of IT capabilities, extent of IT use and IT integration, called IT sophistication, among aged care facilities with variable characteristics. What are implications for practitioners? Increasing IT sophistication has the potential to improve the quality of care delivered by aged care staff.

Writing a Systematic Review for Publication in a Health-Related Degree Program

BACKGROUND

The protocol in this manuscript was designed to help graduate students publish. It is the result of a challenge from our provost in 2013. I developed this protocol over the last 6 years and have exercised the protocol for the last 5 years. The current version of the protocol has remained mostly static for the last 2 years-only small changes have been made to the process.

OBJECTIVE

The objective of this protocol is to enable students to learn a valuable skill of conducting a systematic review and to write the review in a way that can be published. I have designed the protocol to fit into the schedule of a traditional semester, but also used it in compressed semesters.

METHODS

An image map was created in HTML 5.0 and imported into a learning management system. It augments traditional instruction by providing references to published articles, examples, and previously recorded instructional videos. Students use the image map outside the classroom after traditional instruction. The image map helps students create manuscripts that follow established practice and are reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), and whose authorship follows guidelines by the International Committee of Medical Journal Editors.

RESULTS

Since its inception, this protocol has helped 77 students publish 27 systematic reviews in nine journals worldwide. Some manuscripts take multiple years to progress through multiple review processes at multiple journals submitted in sequence. Two other professors in the School of Health Administration have used this protocol in their classes.

CONCLUSIONS

So far, this method has helped 51% of graduate students who used it in my graduate courses publish articles (with more manuscripts under consideration whose numbers have remained uncounted in this sum). I wish success to others who might use this protocol.

Building consensus toward a national nursing home information technology maturity model

OBJECTIVES

We describe the development of a nursing home information technology (IT) maturity model designed to capture stages of IT maturity.

MATERIALS AND METHODS

This study had 2 phases. The purpose of phase I was to develop a preliminary nursing home IT maturity model. Phase II involved 3 rounds of questionnaires administered to a Delphi panel of expert nursing home administrators to evaluate the validity of the nursing home IT maturity model proposed in phase I.

RESULTS

All participants (n = 31) completed Delphi rounds 1-3. Over the 3 Delphi rounds, the nursing home IT maturity staging model evolved from a preliminary, 5-stage model (stages 1-5) to a 7-stage model (stages 0-6).

DISCUSSION

Using innovative IT to improve patient outcomes has become a broad goal across healthcare settings, including nursing homes. Understanding the relationship between IT sophistication and quality performance in nursing homes relies on recognizing the spectrum of nursing home IT maturity that exists and how IT matures over time. Currently, no universally accepted nursing home IT maturity model exists to trend IT adoption and determine the impact of increasing IT maturity on quality.

CONCLUSIONS

A 7-stage nursing home IT maturity staging model was successfully developed with input from a nationally representative sample of U.S. based nursing home experts. The model incorporates 7-stages of IT maturity ranging from stage 0 (nonexistent IT solutions or electronic medical record) to stage 6 (use of data by resident or resident representative to generate clinical data and drive self-management).