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.

Examining the Use of Text Messages Among Multidisciplinary Care Teams to Reduce Avoidable Hospitalization of Nursing Home Residents with Dementia: Protocol for a Secondary Analysis.

BACKGROUND: Reducing avoidable nursing home (NH)-to-hospital transfers of residents with Alzheimer disease or a related dementia (ADRD) has become a national priority due to the physical and emotional toll it places on residents and the high costs to Medicare and Medicaid. Technologies supporting the use of clinical text messages (TMs) could improve communication among health care team members and have considerable impact on reducing avoidable NH-to-hospital transfers. Although text messaging is a widely accepted mechanism of communication, clinical models of care using TMs are sparsely reported in the literature, especially in NHs. Protocols for assessing technologies that integrate TMs into care delivery models would be beneficial for end users of these systems. Without evidence to support clinical models of care using TMs, users are left to design their own methods and protocols for their use, which can create wide variability and potentially increase disparities in resident outcomes. OBJECTIVE: Our aim is to describe the protocol of a study designed to understand how members of the multidisciplinary team communicate using TMs and how salient and timely communication can be used to avert poor outcomes for NH residents with ADRD, including hospitalization. METHODS: This project is a secondary analysis of data collected from a Centers for Medicare & Medicaid Services (CMS)-funded demonstration project designed to reduce avoidable hospitalizations for long-stay NH residents. We will use two data sources: (1) TMs exchanged among the multidisciplinary team across the 7-year CMS study period (August 2013-September 2020) and (2) an adapted acute care transfer tool completed by advanced practice registered nurses to document retrospective details about NH-to-hospital transfers. The study is guided by an age-friendly model of care called the 4Ms (What Matters, Medications, Mentation, and Mobility) framework. We will use natural language processing, statistical methods, and social network analysis to generate a new ontology and to compare communication patterns found in TMs occurring around the time NH-to-hospital transfer decisions were made about residents with and without ADRD. RESULTS: After accounting for inclusion and exclusion criteria, we will analyze over 30,000 TMs pertaining to over 3600 NH-to-hospital transfers. Development of the 4M ontology is in progress, and the 3-year project is expected to run until mid-2025. CONCLUSIONS: To our knowledge, this project will be the first to explore the content of TMs exchanged among a multidisciplinary team of care providers as they make decisions about NH-to-hospital resident transfers. Understanding how the presence of evidence-based elements of high-quality care relate to avoidable hospitalizations among NH residents with ADRD will generate knowledge regarding the future scalability of behavioral interventions. Without this knowledge, NHs will continue to rely on ineffective and outdated communication methods that fail to account for evidence-based elements of age-friendly care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/50231.

Calling all nurses-Now is the time to take action on improving the quality of care in nursing homes.

For a number of decades, nurses have raised concerns about nursing-related issues in nursing homes (NH) such as inadequate registered nurse (RN) staffing, insufficient RN and advanced practice registered nurse (APRN) gerontological expertise, and lack of RN leadership competencies. The NASEM Committee on the Quality of Care in Nursing Homes illuminated the long-standing issues and concerns affecting the quality of care in nursing homes and proposed seven goals and associated recommendations intended to achieve the Committee's vision: Nursing home residents receive care in a safe environment that honors their values and preferences, addresses goals of care, promotes equity, and assesses the benefits and risks of care and treatments. This paper outlines concrete and specific actions nurses and nursing organizations can take to ensure the recommendations are implemented.

Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity.

BACKGROUND: There are 15,632 nursing homes (NHs) in the United States. NHs continue to receive significant policy attention due to high costs and poor outcomes of care. One strategy for improving NH care is use of health information technology (HIT). A central concept of this study is HIT maturity, which is used to identify adoption trends in HIT capabilities, use and integration within resident care, clinical support, and administrative activities. This concept is guided by the Nolan stage theory, which postulates that a system such as HIT moves through a series of measurable stages. HIT maturity is an important component of the rapidly changing NH landscape, which is being affected by policies generated to protect residents, in part because of the pandemic. OBJECTIVE: The aim of this study is to identify structural disparities in NH HIT maturity and see if it is moderated by commonly used organizational characteristics. METHODS: NHs (n=6123, >20%) were randomly recruited from each state using Nursing Home Compare data. Investigators used a validated HIT maturity survey with 9 subscales including HIT capabilities, extent of HIT use, and degree of HIT integration in resident care, clinical support, and administrative activities. Each subscale had a possible HIT maturity score of 0-100. Total HIT maturity, with a possible score of 0-900, was calculated using the 9 subscales (3 x 3 matrix). Total HIT maturity scores equate 1 of 7 HIT maturity stages (stages 0-6) for each facility. Dependent variables included HIT maturity scores. We included 5 independent variables (ie, ownership, chain status, location, number of beds, and occupancy rates). Unadjusted and adjusted cumulative odds ratios were calculated using regression models. RESULTS: Our sample (n=719) had a larger proportion of smaller facilities and a smaller proportion of larger facilities than the national nursing home population. Integrated clinical support technology had the lowest HIT maturity score compared to resident care HIT capabilities. The majority (n=486, 60.7%) of NHs report stage 3 or lower with limited capabilities to communicate about care delivery outside their facility. Larger NHs in metropolitan areas had higher odds of HIT maturity. The number of certified beds and NH location were significantly associated with HIT maturity stage while ownership, chain status, and occupancy rate were not. CONCLUSIONS: NH structural disparities were recognized through differences in HIT maturity stage. Structural disparities in this sample appear most evident in HIT maturity, measuring integration of clinical support technologies for laboratory, pharmacy, and radiology services. Ongoing assessments of NH structural disparities is crucial given 1.35 million Americans receive care in these facilities annually. Leaders must be willing to promote equal opportunities across the spectrum of health care services to incentivize and enhance HIT adoption to balance structural disparities and improve resident outcomes.

The Association Between Nursing Home Information Technology Maturity and Urinary Tract Infection Among Long-Term Residents.

Urinary tract infections (UTIs) are the most common infections among nursing home (NH) residents. Antibiotics are often misused when a UTI is suspected. Using sophisticated information technology (IT) could help in appropriate UTI prevention, diagnosis, and treatment. This repeated cross-sectional study explored relationships between IT maturity and UTI prevalence among long-stay NH residents. Data were from (1) four annual surveys 2013-2017 measuring IT maturity in a random sample of Medicare-certified NHs, (2) Minimum Data Set assessments for resident characteristics, and (3) Certification and Survey Provider Enhanced Reporting data for facility characteristics. In multivariate regressions using NH fixed effects, controlling for resident and NH characteristics, Administrative IT maturity in NHs was associated with decreased odds of UTI (AOR: 0.906, 95% CI: 0.843, 0.973). These results were robust in all sensitivity analyses. Using IT to relieve administrative burden may decrease UTIs.

Examining Nursing Home Information Technology Maturity and Antibiotic Use Among Long-Term Care Residents.

OBJECTIVES: Up to 15% of the 1.4 million US nursing home (NH) residents receive antibiotics daily. Antibiotic use in NHs is often inappropriate, contributing to quality and safety concerns as well as antibiotic resistance. Information technology (IT) maturity-defined as the extent to which facilities possess and use diverse technological devices and software that are integrated across resident care, clinical support, and administrative activities-may improve the tracking and reporting of antibiotic use in NH residents. Thus, this research explores trends in IT maturity over time and associations with antibiotic use in US NHs. DESIGN: Repeated cross-sectional study. SETTING AND PARTICIPANTS: Long-term resident assessments from a random sample of Medicare-certified US NHs over 4 consecutive years (2013-2017). METHODS: Three data sources were used: (1) 4 annual surveys measuring IT maturity, (2) Minimum Data Set (MDS) 3.0 assessments for resident characteristics, and (3) Certification and Survey Provider Enhanced Reporting data for facility characteristics. Nonadmission MDS assessments that were within a 90-day window of the IT survey were eligible. Descriptive statistics were examined. Bivariate and multivariate regressions using NH fixed effects were conducted controlling for resident and NH characteristics. RESULTS: There were 219,461 MDS assessments from 80,237 long-stay residents aged ≥65 years, living in 817 NHs. Trends in IT maturity increased significantly over 4 years. IT integration in administrative processes was positively associated with antibiotic use (AOR 1.072, 95% CI 1.025, 1.122). CONCLUSIONS AND IMPLICATIONS: IT components that integrate administrative activities, which can provide greater access to data sources across the organization as a whole, was associated with changes in antibiotic use. Further evaluation is needed to determine if antibiotic use is more appropriate with higher maturity such that policy makers can encourage IT with these capabilities to promote antibiotic stewardship.

Value Propositions for Health Information Exchange Toward Improving Nursing Home Hospital Readmission Rates.

The importance of health information technology use in nursing home (NH) care delivery is a major topic in research exploring methods to improve resident care. Topics of interest include how technology investments, infrastructure, and work-force development lead to better methods of nursing care delivery and outcomes. Value propositions, including perceived benefits, incentives, and system changes recognized by end-users, are important resources to inform NH leaders, policymakers, and stakeholders about technology. The purpose of the current research was to identify and disseminate value propositions from a community of stakeholders using a health information exchange (HIE). Researchers used a nominal group process, including 49 individual stakeholders participating in a national demonstration project to reduce avoidable hospitalizations in NHs. Stakeholders identified 41 total anticipated changes from using HIE. Ten stakeholder types were perceived to have experienced the highest impact from HIE in areas related to resident admissions, communication, and efficiency of care delivery. [Journal of Gerontological Nursing, 48(1), 15-20.].

Ternary Trends in Nursing Home Information Technology and Quality Measures in the United States.

Nursing home information technology (NH IT) adoption trends are not measured regularly. Evidence indicates digital footprints are growing, but gaps about NH IT adoption and quality impacts remain. We hypothesize as NH IT adoption grows, quality improves. This research assessed ternary (2014-2017) trends in IT and quality measures using a primary survey of U.S. NHs. Survey measures included nine dimensions/domains and total IT sophistication. Administrators completed 815 Year 1 surveys. Each year mean total IT sophistication scores in nine dimensions/domains consistently increased. Eighteen significant correlations (r > .13, absolute value) between IT sophistication and quality measures existed. Regression shows that for every 10 units increase in administrative activity extent of IT use, a decrease of 1.3% occurs in the percentage of low-risk long-stay residents with bowel or bladder incontinence. Increases in NH IT sophistication positively impact quality. Estimating ongoing trends in NH IT sophistication provides new information that should be consistently available.

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).

Assessment of Fall Characteristics From Depth Sensor Videos.

Falls are a major source of death and disability in older adults; little data, however, are available about the etiology of falls in community-dwelling older adults. Sensor systems installed in independent and assisted living residences of 105 older adults participating in an ongoing technology study were programmed to record live videos of probable fall events. Sixty-four fall video segments from 19 individuals were viewed and rated using the Falls Video Assessment Questionnaire. Raters identified that 56% (n = 36) of falls were due to an incorrect shift of body weight and 27% (n = 17) from losing support of an external object, such as an unlocked wheelchair or rolling walker. In 60% of falls, mobility aids were in the room or in use at the time of the fall. Use of environmentally embedded sensors provides a mechanism for real-time fall detection and, ultimately, may supply information to clinicians for fall prevention interventions. [Journal of Gerontological Nursing, 43(7), 13-19.].

Analyzing Change in Nursing Home Information Technology Sophistication: A 2-Year Survey.

Nursing home (NH) health information technology (IT) is becoming more prevalent across the country. Currently, a national sample of NHs is being surveyed for 3 consecutive years to determine trends in NH IT sophistication (e.g., measures of IT capabilities, extent of IT use, IT integration with internal and external stakeholders). IT sophistication is measured in resident care, clinical support, and administrative activities. The current article provides details of the differences in NH IT sophistication reported by administrators completing Year 1 and Year 2 surveys. IT in clinical support (i.e., laboratory, pharmacy, and radiology) had the greatest differences. This difference is expected because these areas typically require external contracts, making it dificult to fit IT with existing workflows, which is important for sustained adoption. [Journal of Gerontological Nursing, 43(1), 17-21.].

Enhanced registered nurse care coordination with sensor technology: Impact on length of stay and cost in aging in place housing.

BACKGROUND: When planning the Aging in Place Initiative at TigerPlace, it was envisioned that advances in technology research had the potential to enable early intervention in health changes that could assist in proactive management of health for older adults and potentially reduce costs. PURPOSE: The purpose of this study was to compare length of stay (LOS) of residents living with environmentally embedded sensor systems since the development and implementation of automated health alerts at TigerPlace to LOS of those who are not living with sensor systems. Estimate potential savings of living with sensor systems. METHODS: LOS for residents living with and without sensors was measured over a span of 4.8 years since the implementation of sensor-generated health alerts. The group living with sensors (n = 52) had an average LOS of 1,557 days (4.3 years); the comparison group without sensors (n = 81) was 936 days (2.6 years); p = .0006. Groups were comparable based on admission age, gender, number of chronic illnesses, SF12 physical health, SF12 mental health, Geriatric Depression Scale (GDS), activities of daily living, independent activities of daily living, and mini-mental status examination scores. Both groups, all residents living at TigerPlace since the implementation of health alerts, receive registered nurse (RN) care coordination as the standard of care. DISCUSSION: Results indicate that residents living with sensors were able to reside at TigerPlace 1.7 years longer than residents living without sensors, suggesting that proactive use of health alerts facilitates successful aging in place. Health alerts, generated by automated algorithms interpreting environmentally embedded sensor data, may enable care coordinators to assess and intervene on health status changes earlier than is possible in the absence of sensor-generated alerts. Comparison of LOS without sensors TigerPlace (2.6 years) with the national median in residential senior housing (1.8 years) may be attributable to the RN care coordination model at TigerPlace. Cost estimates comparing cost of living at TigerPlace with the sensor technology vs. nursing home reveal potential saving of about $30,000 per person. Potential cost savings to Medicaid funded nursing home (assuming the technology and care coordination were reimbursed) are estimated to be about $87,000 per person. CONCLUSIONS: Early alerts for potential health problems appear to enhance the current RN care coordination care delivery model at TigerPlace, increasing LOS for those living with sensors to nearly twice that of those who did not. Sensor technology with care coordination has cost saving potential for consumers and Medicaid.

Multi-disciplinary communication networks for skin risk assessment in nursing homes with high IT sophistication.

BACKGROUND: The role of nursing home (NH) information technology (IT) in quality improvement has not been clearly established, and its impacts on communication between care givers and patient outcomes in these settings deserve further attention. OBJECTIVES: In this research, we describe a mixed method approach to explore communication strategies used by healthcare providers for resident skin risk in NH with high IT sophistication (ITS). METHODS: Sample included NH participating in the statewide survey of ITS. We incorporated rigorous observation of 8- and 12-h shifts, and focus groups to identify how NH IT and a range of synchronous and asynchronous tools are used. Social network analysis tools and qualitative analysis were used to analyze data and identify relationships between ITS dimensions and communication interactions between care providers. RESULTS: Two of the nine ITS dimensions (resident care-technological and administrative activities-technological) and total ITS were significantly negatively correlated with number of unique interactions. As more processes in resident care and administrative activities are supported by technology, the lower the number of observed unique interactions. Additionally, four thematic areas emerged from staff focus groups that demonstrate how important IT is to resident care in these facilities including providing resident-centered care, teamwork and collaboration, maintaining safety and quality, and using standardized information resources. CONCLUSION: Our findings in this study confirm prior research that as technology support (resident care and administrative activities) and overall ITS increases, observed interactions between staff members decrease. Conversations during staff interviews focused on how technology facilitated resident centered care through enhanced information sharing, greater virtual collaboration between team members, and improved care delivery. These results provide evidence for improving the design and implementation of IT in long term care systems to support communication and associated resident outcomes.

Experts speak: advice from key informants to small, rural hospitals on implementing the electronic health record system.

The US government has allocated $30 billion dollars to implement Electronic Health Records (EHRs) in hospitals and provider practices through a policy called Meaningful Use. Small, rural hospitals, particularly those designated as Critical Access Hospitals (CAHs), comprising nearly a quarter of US hospitals, had not implemented EHRs before. Little is known on implementation in this setting. We interviewed a spectrum of 31 experts in the domain. The interviews were then analyzed qualitatively to ascertain the expert recommendations. Nineteen themes emerged. The pool of experts included staff from CAHs that had recently implemented EHRs. We were able to compare their answers with those of other experts and make recommendations for stakeholders. CAH peer experts focused less on issues such as physician buy-in, communication, and the EHR team. None of them indicated concern or focus on clinical decision support systems, leadership, or governance. They were especially concerned with system selection, technology, preparatory work and a need to know more about workflow and optimization. These differences were explained by the size and nature of these small hospitals.

Secrets of successful short grant applications.

The National Institutes of Health has implemented new grant application guidelines that include a substantial reduction in the number of pages allowed for project descriptions. Shorter proposals will potentially decrease reviewer burden, but investigators may find the new page limits challenging. Writing more concisely while still presenting a persuasive argument requires honing certain skills with regard to preparation, construction, and editing of proposals. This article provides strategies from the Western Journal of Nursing Research editorial board for preparing competitive shorter research proposals. Two key strategies for success are fully conceptualizing the study prior to writing and obtaining assistance from experienced colleagues during the editing process.

Passive sensor technology interface to assess elder activity in independent living.

BACKGROUND: The effectiveness of clinical information systems to improve nursing and patient outcomes depends on human factors, including system usability, organizational workflow, and user satisfaction. OBJECTIVE: The aim of this study was to examine to what extent residents, family members, and clinicians find a sensor data interface used to monitor elder activity levels usable and useful in an independent living setting. METHODS: Three independent expert reviewers conducted an initial heuristic evaluation. Subsequently, 20 end users (5 residents, 5 family members, 5 registered nurses, and 5 physicians) participated in the evaluation. During the evaluation, each participant was asked to complete three scenarios taken from three residents. Morae recorder software was used to capture data during the user interactions. RESULTS: The heuristic evaluation resulted in 26 recommendations for interface improvement; these were classified under the headings content, aesthetic appeal, navigation, and architecture, which were derived from heuristic results. Total time for elderly residents to complete scenarios was much greater than for other users. Family members spent more time than clinicians but less time than residents did to complete scenarios. Elder residents and family members had difficulty interpreting clinical data and graphs, experienced information overload, and did not understand terminology. All users found the sensor data interface useful for identifying changing resident activities. DISCUSSION: Older adult users have special needs that should be addressed when designing clinical interfaces for them, especially information as important as health information. Evaluating human factors during user interactions with clinical information systems should be a requirement before implementation.

A regional assessment of information technology sophistication in Missouri nursing homes.

OBJECTIVE: To provide a state profile of information technology (IT) sophistication in Missouri nursing homes. METHOD: Primary survey data were collected from December 2006 to August 2007. A descriptive, exploratory cross-sectional design was used to investigate dimensions of IT sophistication (technological, functional, and integration) related to resident care, clinical support, and administrative processes. Each dimension was used to describe the clinical domains and demographics (ownership, regional location, and bed size). RESULTS: The final sample included 185 nursing homes. A wide range of IT sophistication is being used in administrative and resident care management processes, but very little in clinical support activities. CONCLUSION: Evidence suggests nursing homes in Missouri are expanding use of IT beyond traditional administrative and billing applications to patient care and clinical applications. This trend is important to provide support for capabilities which have been implemented to achieve national initiatives for meaningful use of IT in health care settings.

A state profile of IT sophistication in nursing homes.

In healthcare, IT Sophistication has been defined as the diversity and maturity of information system hardware and software that support clinical services. Clinical services relevant to this study include resident care management, clinical support and administrative activities in nursing homes. An IT sophistication survey previously validated in acute care settings and adapted for nursing homes was used to develop a state profile of Missouri nursing homes. The IT survey was disseminated via paper and electronic methods as chosen by a selected responder that had IT oversight and knowledge of IT stakeholders. A census of 199 respondents completed the survey, representing a 41% (199/491) response rate. Findings support recent literature indicating a higher percentage of nursing homes are still using technology for administrative purposes; however, there is growing recognition that technologies with greater functionality, is used more extensively for electronic and automated transfer of resident care information.