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.

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.

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.].

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.