Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity
BackgroundThere 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 s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2022-08-01
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| Series: | JMIR Aging |
| Online Access: | https://aging.jmir.org/2022/3/e37482 |
| _version_ | 1797734797847560192 |
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| author | Gregory L Alexander Jianfang Liu Kimberly R Powell Patricia W Stone |
| author_facet | Gregory L Alexander Jianfang Liu Kimberly R Powell Patricia W Stone |
| author_sort | Gregory L Alexander |
| collection | DOAJ |
| description |
BackgroundThere 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.
ObjectiveThe aim of this study is to identify structural disparities in NH HIT maturity and see if it is moderated by commonly used organizational characteristics.
MethodsNHs (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.
ResultsOur 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.
ConclusionsNH 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. |
| first_indexed | 2024-03-12T12:49:41Z |
| format | Article |
| id | doaj.art-88a3ebfe03d04f55bf3c1718e914fcfe |
| institution | Directory Open Access Journal |
| issn | 2561-7605 |
| language | English |
| last_indexed | 2024-03-12T12:49:41Z |
| publishDate | 2022-08-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Aging |
| spelling | doaj.art-88a3ebfe03d04f55bf3c1718e914fcfe2023-08-28T22:56:08ZengJMIR PublicationsJMIR Aging2561-76052022-08-0153e3748210.2196/37482Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology MaturityGregory L Alexanderhttps://orcid.org/0000-0003-4500-8797Jianfang Liuhttps://orcid.org/0000-0003-3546-0800Kimberly R Powellhttps://orcid.org/0000-0002-6144-1438Patricia W Stonehttps://orcid.org/0000-0003-4098-8853 BackgroundThere 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. ObjectiveThe aim of this study is to identify structural disparities in NH HIT maturity and see if it is moderated by commonly used organizational characteristics. MethodsNHs (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. ResultsOur 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. ConclusionsNH 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.https://aging.jmir.org/2022/3/e37482 |
| spellingShingle | Gregory L Alexander Jianfang Liu Kimberly R Powell Patricia W Stone Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity JMIR Aging |
| title | Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity |
| title_full | Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity |
| title_fullStr | Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity |
| title_full_unstemmed | Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity |
| title_short | Examining Structural Disparities in US Nursing Homes: National Survey of Health Information Technology Maturity |
| title_sort | examining structural disparities in us nursing homes national survey of health information technology maturity |
| url | https://aging.jmir.org/2022/3/e37482 |
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