Exploring Hospital Transfers for Long-Stay Nursing Home Residents With End-Stage Renal Disease.

BACKGROUND: Nursing home residents with end-stage renal disease (ESRD) are an understudied, yet growing population within nursing homes. PURPOSE: To describe hospital transfers for nursing home residents diagnosed with ESRD and receiving hemodialysis. METHODS: Data were analyzed for residents with ESRD transferred to the hospital between October 2016 and September 2020 (n = 219). Descriptive statistics, bivariate analyses, logistic regression, and content analysis were used for analysis. RESULTS: Clinical factors associated with transfers included abnormal vitals, altered mental state, and pain. Other factors included lack of care planning and advance directives, provider communication, resident/family preferences, missing/refusing dialysis, and facility resources. The odds of an observation/emergency department only visit was 2.02 times larger when transferred from the dialysis clinic. CONCLUSIONS: Advance care planning and coordinated care between nursing home and dialysis clinics are needed along with proactive planning when residents miss dialysis or experience a condition change at the dialysis clinic.

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.

Enteral Feeding for Children on Bilevel Positive Pressure Ventilation for Status Asthmaticus.

A retrospective data analysis was conducted to evaluate enteral nutrition practices for children admitted with status asthmaticus in a single-center pediatric intensive care unit. Of 406 charts, 315 were analyzed (63% male); 135 on bilevel positive airway pressure ventilation (BIPAP) and 180 on simple mask. Overall median age and weight were 6.0 (interquartile range [IQR]: 6.0) years and 24.8 (IQR: 20.8) kg, respectively. All children studied were on full feeds while still on BIPAP and simple mask; 99.3 and 100% were fed per oral, respectively. Median time to initiation of feeds and full feeds was longer in the BIPAP group, 11.0 (IQR: 20) and 23.0 hours (IQR: 26), versus simple mask group, 4.3 (IQR: 7) and 12.0 hours (IQR: 15), p = 0.001. The results remained similar after adjusting for gender, weight, clinical asthma score at admission, use of adjunct therapy, and duration of continuous albuterol. By 24 hours, 81.5% of patients on BIPAP and 96.6% on simple mask were started on feeds. Compared with simple mask, patients on BIPAP were sicker with median asthma score at admission of 4 (IQR: 2) versus 3 (IQR: 2) on simple mask, requiring more adjunct therapy (80.0 vs. 43.9%), and a longer median length of therapy of 41.0 (IQR: 41) versus 20.0 hours (IQR: 29), respectively, p = 0.001. There were no complications such as aspiration pneumonia, and none required invasive mechanical ventilation in either group. Enteral nutrition was effectively and safely initiated and continued for children admitted with status asthmaticus, including those on noninvasive bilevel ventilation therapy.

A mixed-methods analysis of telehealth implementation in nursing homes amidst the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has forced nursing homes to adapt new models of care in response to the evolving crisis including rapid implementation of telehealth services. The purpose of our study was to investigate implementation of telehealth in nursing homes amidst the COVID-19 pandemic using a human factors model. METHODS: Using a mixed methods design, we conducted a secondary analysis of data from a national survey of nursing home administrative leaders (n = 204). Using six survey questions, we calculated a total telehealth score (range 0-42). Descriptive statistics and paired sample t-test were used to explore the change in telehealth in two consecutive years (2019-2021). Next, we conducted semi-structured interviews with (n = 21) administrators and clinicians to assess differences in implementation according to extent of telehealth use. RESULTS: The mean telehealth score in year 1 was 12.11 (SD = 9.85) and year 2 was 19.25 (SD = 11.25). There was a significant difference in telehealth scores from year 1 to year 2 (t = 6.83, p < 0.000). While 64% of nursing homes reported higher telehealth scores in year 2 compared to year 1, over 32% reported a decline. Qualitative analysis revealed facilitators of telehealth including training, use of integrated equipment, having staff present for the visit, and using telehealth for different types of visits. Barriers included using smart phones to conduct the visit, billing, interoperability and staffing. CONCLUSION: Training, adaptation of work processes to support communication, and restructuring teams and tasks are the result of interactions between system components that could improve usability and sustainability of telehealth in nursing homes.

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.

Development and Pilot Analysis of the Nursing Home Health Information Technology Maturity Survey and Staging Model.

The current research includes a psychometric test of a nursing home (NH) health information technology (HIT) maturity survey and staging model. NHs were assembled based on HIT survey scores from a prior study representing NHs with low (20%), medium (60%), and high (20%) HIT scores. Inclusion criteria were NHs that completed at least two annual surveys over 4 years. NH administrators were excluded who participated in the Delphi panel responsible for instrument recommendations. Recruitment occurred from January to May 2019. Administrators from 121 of 429 facilities completed surveys. NHs were characteristically for-profit, medium bed size, and metropolitan. A covariance matrix demonstrated that all dimensions and domains were significantly correlated, except HIT capabilities and integration in administrative activities. Cronbach's alpha was very good (0.86). Principal component analysis revealed all items loaded intuitively onto four components, explaining 80% variance. The HIT maturity survey and staging model can be used to assess nine dimensions and domains, total HIT maturity, and stage, leading to reliable assumptions about NH HIT. [Research in Gerontological Nursing, 15(2), 93-99.].

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.

Authorship trends in infectious diseases society of America affiliated journal articles conducted in low-income countries, 1998-2018.

An increasing amount of infectious diseases research is conducted in low-income countries (LIC) given their high burden of disease; however, the contribution of LIC investigators as measured by authorship metrics, specifically to infectious diseases research, has not been thoroughly studied. We performed a literature search for primary research conducted either within LICs or using samples from LIC participants published between 1998-2017 in the Infectious Disease Society of America-affiliated journals Clinical Infectious Diseases, Journal of Infectious Diseases, and Open Forum Infectious Diseases. Primary outcomes included proportion of LIC-affiliated first and last authors (i.e. lead authors) per year and authorship trends over time. Secondary outcomes included proportion of LIC-affiliated authorship by geographic distribution and disease focus. Among 1308 publications identified, 50% had either a first or last LIC-affiliated author. Among these authors, 48% of LIC-affiliated first authors and 52% of LIC-affiliated last authors also reported a non-LIC institutional affiliation. While the absolute number of articles by LIC-affiliated lead authors increased over the 20-year period, the proportion of articles with LIC-affiliated lead authors decreased. There is a growing literature for infectious disease research conducted in LICs yet authorship trends in a small subset of these publications demonstrate a pronounced and worsening exclusion of LIC-affiliated investigators from publishing as lead authors.

Consequences of Rapid Telehealth Expansion in Nursing Homes: Promise and Pitfalls.

BACKGROUND: Expectations regarding use and potential benefits of telehealth (TH) in nursing homes (NHs) are high; however, unplanned and unexpected consequences can occur as a result of major policy and technological changes. OBJECTIVES: The goal of this study was to elicit stakeholder perspectives of consequences of rapid TH expansion in NHs. METHODS: Using a qualitative descriptive design, we drew a sample based on findings from a national study examining trends in NH information and technology (IT) maturity, including TH use. We used maximum variation sampling to purposively select participants who (1) participated in our IT maturity survey for two consecutive years, (2) completed year 1 of the IT maturity survey prior to TH expansion (before March 6, 2020) and year 2 after TH expansion (after March 6, 2020), (3) represented a broad range of facility characteristics, and (4) were identified as an end user of TH or responsible for TH implementation. Using six questions from the IT maturity survey, we created a total TH score for each facility and selected participants representing a range of scores. RESULTS: Interviews were conducted with (n = 21) NH administrators and clinicians from 16 facilities. We found similarities and differences in perceptions of TH expansion according to facility TH score, NH location, and participant role. Desirable consequences included four subthemes as follows: (1) benefits of avoiding travel for the NH resident, (2) TH saving organizational resources, (3) improved access to care, and (4) enhanced communication. Undesirable consequences include the following five subthemes: (1) preference for in-person encounters, (2) worsening social isolation, (3) difficulty for residents with cognitive impairment, (4) workflow and tech usability challenges, and (5) increased burden on NH staff/infrastructure. Participants from rural NHs perceived lack of training, poor video/sound quality, and internet/connectivity issues to be potential pitfalls. CONCLUSION: Clinicians and NH administrators should consider leveraging the desirable consequences of rapid TH expansion and implement mitigation strategies to address the undesirable/unanticipated consequences.

Examining Social Networks in Text Messages About Nursing Home Resident Health Status.

Social network analysis (SNA) uses quantitative methods to analyze relationships between people. In the current study, SNA was applied in two nursing homes (NHs) to describe how health care teams interact via text messages. Two data sources were used: (a) a Qualtrics® survey completed by advanced practice RNs containing resident transfer data, and (b) text messages from a secure platform called Mediprocity™. SNA software was used to generate a visual representation of the social networks and calculate quantitative measures of network structure, including density, clustering coefficient, hierarchy, and centralization. Differences were found in the low and high transfer rate NHs for all SNA measures. Staff in the NH with low transfer rate had greater decision-making interactions, higher information exchange rates, and more individuals communicating with each other compared to the high transfer rate NH. SNA can be applied to examine communication patterns found in text messages occurring around the time of NH resident transfers. [Journal of Gerontological Nursing, 47(7), 16-22.].

Health Data Sharing in US Nursing Homes: A Mixed Methods Study.

OBJECTIVES: (1) To understand the extent to which nursing homes have the capability for data sharing and (2) to explore nursing home leaders' perceptions of data sharing with other health care facilities and with residents and family members. DESIGN: Exploratory, mixed-methods. SETTING AND PARTICIPANTS: We conducted a secondary analysis of data from a national survey of nursing home administrative leaders (n = 815) representing every state in the United States. Next, semistructured interviews were used to elicit rich contextual information from (n = 12) administrators from nursing homes with varying data-sharing capabilities. METHODS: We used descriptive statistics along with Rao-Scott chi-square and logistic regression models to examine the relationship between health data-sharing capabilities and nursing home characteristics such as location, bed size, and type of ownership. Qualitative data were analyzed using content analysis. RESULTS: Of the 815 nursing homes completing the survey, 95% had computerized (electronic) medical records, and 46% had some capability for health information exchange. Nursing homes located in metropolitan areas had 2.53 (95% confidence interval = 1.53, 4.18) times greater odds for having health information exchange capability compared with nursing homes in small towns. Perceived challenges to health data sharing with residents and family members and external clinical partners include variance in systems and software, privacy and security concerns, and organizational factors slowing uptake of technology. Perceived benefits of health data sharing included improved communication, improved care planning, and anticipating future demand. CONCLUSIONS AND IMPLICATIONS: As health data sharing becomes more ubiquitous in acute care settings, policy makers, nursing home leaders, and other stakeholders should prepare by working to mitigate barriers and capitalize on potential benefits of implementing this technology in nursing homes.

An evaluation of telehealth expansion in U.S. nursing homes.

OBJECTIVE: This research brief contains results from a national survey about telehealth use reported in a random sample of U.S. nursing homes. METHODS AND MATERIALS: The sample includes nursing homes (N = 664) that completed surveys about information technology maturity, including telehealth use, beginning January 1, 2019, and ending August 4, 2020. A pre/post design was employed to examine differences in nursing home telehealth use for nursing homes completing surveys prior to and after telehealth expansion, on March 6, 2020. We calculated a cumulative telehealth score using survey data from 6 questions about extent of nursing home telehealth use (score range 0-42). We calculated proportions of nursing homes using telehealth and used logistic regression to look for differences in nursing homes based on organizational characteristics and odds ratios. RESULTS: Significant relationships were found between nursing home characteristics and telehealth use, and specifically, larger metropolitan homes reported greater telehealth use. Ownership had little effect on telehealth use. Nursing homes postexpansion used telehealth applications for resident evaluation 11.24 times more (P < .01) than did nursing homes pre-expansion. DISCUSSION: Administrators completing our survey reported a wide range of telehealth use, including approximately 16% having no telehealth use and 5% having the maximum amount of telehealth use. Mean telehealth use scores reported by the majority of these nursing homes is on the lower end of the range. CONCLUSIONS: One solution for the current pandemic is to encourage the proliferation of telehealth with continued relaxed regulations, which can reduce isolation and preserve limited resources (eg, personal protective equipment) while maintaining proper distancing parameters.

A multiplex polymerase chain reaction assay for antibiotic stewardship in suspected pneumonia.

BACKGROUND: Multiplexed molecular rapid diagnostic tests (RDTs) may allow for rapid and accurate diagnosis of the microbial etiology of pneumonia. However, little data are available on multiplexed RDTs in pneumonia and their impact on clinical practice. METHODS: This retrospective study analyzed 659 hospitalized patients for microbiological diagnosis of suspected pneumonia. RESULTS: The overall sensitivity of the Unyvero LRT Panel was 85.7% (95% CI 82.3-88.7) and the overall specificity was 98.4% (95% CI 98.2-98.7) with a negative predictive value of 97.9% (95% CI 97.6-98.1). The LRT Panel result predicted no change in antibiotics in 12.4% of cases but antibiotic de-escalation in 65.9% (405/615) of patients, of whom 278/405 (69%) had unnecessary MRSA coverage and 259/405 (64%) had unnecessary P. aeruginosa coverage. INTERPRETATION: In hospitalized adults with suspected pneumonia, use of an RDT on respiratory samples can allow for early adjustment of initial antibiotics, most commonly de-escalation.

Qualitative Validation of the Nursing Home IT Maturity Staging Model.

The goal of the current study was to qualitatively explore issues of validity, specificity, and sensitivity regarding the nursing home (NH) information technology (IT) maturity survey and staging model. Participants who completed the NH IT maturity survey were recruited during pilot testing of the survey and staging model. Cognitive interviewing was used to collect qualitative data. Findings indicate the NH IT maturity survey and staging model is a straightforward and acceptable instrument. Every participant in our study agreed with the IT maturity stage assigned to their facility, based on their total score on the IT maturity survey. However, some participants were not sure how to answer some questions on the survey because they did not have in-depth knowledge of IT processes that took place outside of their NH facility and others experienced difficulty interpreting items because their NH facility was in a time of transition. The next step in development is quantitative psychometric testing and use of the instrument in a 3-year national study. [Journal of Gerontological Nursing, 46(7), 47-54].

Effect of Potassium Infusions on Serum Levels in Children during Treatment of Diabetic Ketoacidosis.

A retrospective study was done to determine the effect of potassium (K + ) infusions on serum levels in children admitted to the pediatric intensive care unit (PICU) with diabetic ketoacidosis (DKA). Eighty-two percent of 92 cases studied received 40 mEq/L K + infusion over the treatment period of median 13.0 (interquartile range [IQR]: 7-18) hours. The median K + value at the end of this period was 3.9 (IQR: 3.4-4.2) mEq/L. There were 31 data points of low K + values (<3.5 mEq/L) and 4 high values (>5.5 mEq/L) during this treatment period. The K + infusions of 40 mEq/L may be sufficient to normalize serum K + when treating DKA.

Exploring Resident Care Information Technology Use and Nursing Home Quality.

A wide array of sophisticated information technology (IT) systems are being used in nursing home (NH) resident care to improve quality. The purpose of the current study was to explore differences in NH IT sophistication, a comprehensive measure of adoption, used in resident care processes based on facility characteristics over 4 consecutive years and to examine the impact on select long-stay NH quality measures. Results indicate IT systems used in resident care are becoming increasingly sophisticated. NH bed size, type of ownership, and location were significant predictors of IT score in areas related to resident care. Results also suggest that as electronic clinical processes and documents increase (e.g., incident reporting, nursing flowsheets, care planning) in resident care, more falls with injury are detected. Continued assessments of NH IT sophistication are important as the impact of technology on quality continues to be evaluated. [Journal of Gerontological Nursing, 46(4), 15-20.].