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.

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.

A National Assessment of Access to Technology Among Nursing Home Residents: A Secondary Analysis.

BACKGROUND: According to the National Center for Health Statistics, there are over 1.7 million nursing home residents in the United States. Nursing home residents and their family members have unique needs and stand to benefit from using technology empowering them to be more informed and engaged health care consumers. Although there is growing evidence for benefits of patient-facing technologies like electronic patient portals on patient engagement in acute and outpatient settings, little is known about use of this technology in nursing homes. OBJECTIVE: The purpose of this study was to report findings from a secondary analysis of data from a national nursing home study of information technology (IT) adoption, called IT sophistication. We describe the extent to which nursing homes (n=815) allow residents or their representatives to access technology including electronic health records, patient portals, and health information-exchange systems as well as the ability of the residents or representatives to self-report data directly into the electronic health record. METHODS: We used descriptive statistics and regression techniques to explore relationships between information technology adoption (IT sophistication) and residents' or their representatives' access to technology. Covariates of location, bed size, and ownership were added to the model to understand their potential influence on the relationship between IT sophistication and resident access to technology. RESULTS: Findings revealed that resident access to technology was a significant predictor of the nursing home IT sophistication (P<.001). The inclusion of covariates-nursing home location, bed size, and ownership-with their interactions produced a nonsignificant effect in the model. Residents' or their representatives' use of electronic health records and personal health records were both significant predictors of overall IT sophistication (P<.001). CONCLUSIONS: As nursing homes continue to progress in technological capabilities, it is important to understand how increasing IT sophistication can be leveraged to create opportunities to engage residents in their care. Understanding the impact of health information technology on outcomes and which technologies make a difference will help nursing home administrators make more informed decisions about adoption and implementation.

Searching by grant number: comparison of funding acknowledgments in NIH RePORTER, PubMed, and Web of Science.

OBJECTIVE: Several publication databases now index the associated funding agency and grant number metadata with their publication records. Librarians who are familiar with the particulars of these databases can assist investigators and administrators with data gathering for publication summaries and metrics required for renewals of and progress reports for National Institutes of Health (NIH) grants. METHODS: Publication lists were pulled from three main indexers of publication-associated funding information (NIH RePORTER, PubMed, and Web of Science), using iterative search strategies. All discovered variations for the cited grant number of interest were recorded and tested. Publication lists were compared for overall coverage. RESULTS: A total of 986 publications citing the single grant number of interest were returned from the given time frame: 920 were found in PubMed, 860 in NIH RePORTER, and 787 in Web of Science. Web of Science offered the highest percentage of publications that were not found in the other 2 sources (n=63). Analysis of publication funding acknowledgments uncovered 21 variations of the specific NIH award of interest that were used to report funding support. CONCLUSIONS: This study shows that while PubMed returns the most robust list of publications, variations in the format of reported funding support and indexing practices meant no one resource was sufficient to capture all publications that cited a given NIH project grant number. Librarians looking to help build grant-specific publication lists will need to use multiple resources and be aware of the most frequently reported grant variations to identify a comprehensive list of supported publications.

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).